Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	4809
Missing cells	3946
Missing cells (%)	3.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.0 MiB
Average record size in memory	219.5 B

Variable types

Numeric	8
Categorical	15

Alerts

`genres` has a high cardinality: 1175 distinct values	High cardinality
`homepage` has a high cardinality: 1691 distinct values	High cardinality
`keywords` has a high cardinality: 4222 distinct values	High cardinality
`original_title` has a high cardinality: 4801 distinct values	High cardinality
`overview` has a high cardinality: 4800 distinct values	High cardinality
`production_companies` has a high cardinality: 3697 distinct values	High cardinality
`production_countries` has a high cardinality: 469 distinct values	High cardinality
`release_date` has a high cardinality: 3280 distinct values	High cardinality
`spoken_languages` has a high cardinality: 544 distinct values	High cardinality
`tagline` has a high cardinality: 3944 distinct values	High cardinality
`title` has a high cardinality: 4800 distinct values	High cardinality
`cast` has a high cardinality: 4761 distinct values	High cardinality
`crew` has a high cardinality: 4776 distinct values	High cardinality
`budget` is highly overall correlated with `popularity` and 2 other fields	High correlation
`id` is highly overall correlated with `movie_id`	High correlation
`popularity` is highly overall correlated with `budget` and 2 other fields	High correlation
`revenue` is highly overall correlated with `budget` and 2 other fields	High correlation
`vote_count` is highly overall correlated with `budget` and 2 other fields	High correlation
`movie_id` is highly overall correlated with `id`	High correlation
`original_language` is highly imbalanced (88.8%)	Imbalance
`production_countries` is highly imbalanced (60.9%)	Imbalance
`spoken_languages` is highly imbalanced (62.7%)	Imbalance
`status` is highly imbalanced (98.8%)	Imbalance
`homepage` has 3096 (64.4%) missing values	Missing
`tagline` has 844 (17.6%) missing values	Missing
`homepage` is uniformly distributed	Uniform
`original_title` is uniformly distributed	Uniform
`overview` is uniformly distributed	Uniform
`release_date` is uniformly distributed	Uniform
`tagline` is uniformly distributed	Uniform
`title` is uniformly distributed	Uniform
`cast` is uniformly distributed	Uniform
`crew` is uniformly distributed	Uniform
`budget` has 1039 (21.6%) zeros	Zeros
`revenue` has 1430 (29.7%) zeros	Zeros
`vote_average` has 63 (1.3%) zeros	Zeros
`vote_count` has 62 (1.3%) zeros	Zeros

Reproduction

Analysis started	2023-06-14 08:41:21.899852
Analysis finished	2023-06-14 08:41:46.357660
Duration	24.46 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

budget
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	436
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29027803

Minimum	0
Maximum	3.8 × 10⁸
Zeros	1039
Zeros (%)	21.6%
Negative	0
Negative (%)	0.0%
Memory size	75.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	780000
median	15000000
Q3	40000000
95-th percentile	1.15 × 10⁸
Maximum	3.8 × 10⁸
Range	3.8 × 10⁸
Interquartile range (IQR)	39220000

Descriptive statistics

Standard deviation	40704731
Coefficient of variation (CV)	1.402267
Kurtosis	7.6675285
Mean	29027803
Median Absolute Deviation (MAD)	15000000
Skewness	2.4383851
Sum	1.395947 × 10¹¹
Variance	1.6568752 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1039	21.6%
20000000	144	3.0%
30000000	128	2.7%
25000000	126	2.6%
40000000	123	2.6%
15000000	120	2.5%
35000000	103	2.1%
50000000	101	2.1%
10000000	101	2.1%
60000000	86	1.8%
Other values (426)	2738	56.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1039	21.6%
1	7	0.1%
2	1	< 0.1%
3	1	< 0.1%
4	2	< 0.1%
7	2	< 0.1%
8	1	< 0.1%
10	3	0.1%
11	1	< 0.1%
13	1	< 0.1%

Value	Count	Frequency (%)
380000000	1	< 0.1%
300000000	1	< 0.1%
280000000	1	< 0.1%
270000000	1	< 0.1%
260000000	2	< 0.1%
258000000	1	< 0.1%
255000000	1	< 0.1%
250000000	8	0.2%
245000000	1	< 0.1%
237000000	1	< 0.1%

genres
Categorical

Distinct	1175
Distinct (%)	24.4%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

[{"id": 18, "name": "Drama"}]	372
[{"id": 35, "name": "Comedy"}]	282
[{"id": 18, "name": "Drama"}, {"id": 10749, "name": "Romance"}]	164
[{"id": 35, "name": "Comedy"}, {"id": 10749, "name": "Romance"}]	144
[{"id": 35, "name": "Comedy"}, {"id": 18, "name": "Drama"}]	142
Other values (1170)	3705

Length

Max length	230
Median length	194
Mean length	79.297775
Min length	2

Characters and Unicode

Total characters	381343
Distinct characters	46
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	736 ?
Unique (%)	15.3%

Sample

1st row	[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 14, "name": "Fantasy"}, {"id": 878, "name": "Science Fiction"}]
2nd row	[{"id": 12, "name": "Adventure"}, {"id": 14, "name": "Fantasy"}, {"id": 28, "name": "Action"}]
3rd row	[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 80, "name": "Crime"}]
4th row	[{"id": 28, "name": "Action"}, {"id": 80, "name": "Crime"}, {"id": 18, "name": "Drama"}, {"id": 53, "name": "Thriller"}]
5th row	[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 878, "name": "Science Fiction"}]

Common Values

Value	Count	Frequency (%)
[{"id": 18, "name": "Drama"}]	372	7.7%
[{"id": 35, "name": "Comedy"}]	282	5.9%
[{"id": 18, "name": "Drama"}, {"id": 10749, "name": "Romance"}]	164	3.4%
[{"id": 35, "name": "Comedy"}, {"id": 10749, "name": "Romance"}]	144	3.0%
[{"id": 35, "name": "Comedy"}, {"id": 18, "name": "Drama"}]	142	3.0%
[{"id": 35, "name": "Comedy"}, {"id": 18, "name": "Drama"}, {"id": 10749, "name": "Romance"}]	109	2.3%
[{"id": 27, "name": "Horror"}, {"id": 53, "name": "Thriller"}]	88	1.8%
[{"id": 99, "name": "Documentary"}]	68	1.4%
[{"id": 27, "name": "Horror"}]	64	1.3%
[{"id": 18, "name": "Drama"}, {"id": 53, "name": "Thriller"}]	62	1.3%
Other values (1165)	3314	68.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
id	12177	24.7%
name	12177	24.7%
18	2300	4.7%
drama	2300	4.7%
35	1723	3.5%
comedy	1723	3.5%
thriller	1275	2.6%
53	1275	2.6%
28	1156	2.3%
action	1156	2.3%
Other values (35)	12020	24.4%

Most occurring characters

Value	Count	Frequency (%)
"	73062	19.2%
	44473	11.7%
:	24354	6.4%
e	20091	5.3%
,	19573	5.1%
a	19524	5.1%
m	18650	4.9%
i	18325	4.8%
n	17215	4.5%
d	14692	3.9%
Other values (36)	111384	29.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	142250	37.3%
Other Punctuation	116989	30.7%
Space Separator	44473	11.7%
Decimal Number	30928	8.1%
Open Punctuation	16986	4.5%
Close Punctuation	16986	4.5%
Uppercase Letter	12731	3.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20091	14.1%
a	19524	13.7%
m	18650	13.1%
i	18325	12.9%
n	17215	12.1%
d	14692	10.3%
r	8814	6.2%
o	5935	4.2%
c	3960	2.8%
t	3882	2.7%
Other values (7)	11162	7.8%

Uppercase Letter

Value	Count	Frequency (%)
C	2420	19.0%
D	2410	18.9%
A	2182	17.1%
F	1511	11.9%
T	1283	10.1%
R	895	7.0%
H	717	5.6%
M	541	4.2%
S	538	4.2%
W	226	1.8%

Decimal Number

Value	Count	Frequency (%)
1	6045	19.5%
8	5577	18.0%
5	3656	11.8%
3	3277	10.6%
2	2797	9.0%
7	2743	8.9%
0	2670	8.6%
4	1853	6.0%
9	1497	4.8%
6	813	2.6%

Other Punctuation

Value	Count	Frequency (%)
"	73062	62.5%
:	24354	20.8%
,	19573	16.7%

Open Punctuation

Value	Count	Frequency (%)
{	12177	71.7%
[	4809	28.3%

Close Punctuation

Value	Count	Frequency (%)
}	12177	71.7%
]	4809	28.3%

Space Separator

Value	Count	Frequency (%)
	44473	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	226362	59.4%
Latin	154981	40.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20091	13.0%
a	19524	12.6%
m	18650	12.0%
i	18325	11.8%
n	17215	11.1%
d	14692	9.5%
r	8814	5.7%
o	5935	3.8%
c	3960	2.6%
t	3882	2.5%
Other values (18)	23893	15.4%

Common

Value	Count	Frequency (%)
"	73062	32.3%
	44473	19.6%
:	24354	10.8%
,	19573	8.6%
{	12177	5.4%
}	12177	5.4%
1	6045	2.7%
8	5577	2.5%
]	4809	2.1%
[	4809	2.1%
Other values (8)	19306	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	381343	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	73062	19.2%
	44473	11.7%
:	24354	6.4%
e	20091	5.3%
,	19573	5.1%
a	19524	5.1%
m	18650	4.9%
i	18325	4.8%
n	17215	4.5%
d	14692	3.9%
Other values (36)	111384	29.2%

homepage
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	1691
Distinct (%)	98.7%
Missing	3096
Missing (%)	64.4%
Memory size	75.1 KiB

http://www.missionimpossible.com/	4
http://www.thehungergames.movie/	4
http://www.kungfupanda.com/	3
http://www.transformersmovie.com/	3
http://www.thehobbit.com/	3
Other values (1686)	1696

Length

Max length	138
Median length	80
Mean length	36.41331
Min length	17

Characters and Unicode

Total characters	62376
Distinct characters	78
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1676 ?
Unique (%)	97.8%

Sample

1st row	http://www.avatarmovie.com/
2nd row	http://disney.go.com/disneypictures/pirates/
3rd row	http://www.sonypictures.com/movies/spectre/
4th row	http://www.thedarkknightrises.com/
5th row	http://movies.disney.com/john-carter

Common Values

Value	Count	Frequency (%)
http://www.missionimpossible.com/	4	0.1%
http://www.thehungergames.movie/	4	0.1%
http://www.kungfupanda.com/	3	0.1%
http://www.transformersmovie.com/	3	0.1%
http://www.thehobbit.com/	3	0.1%
http://www.theamazingspiderman.com	2	< 0.1%
http://www.ironmanmovie.com/	2	< 0.1%
http://www.riomovies.com/	2	< 0.1%
http://www.hostmovie.com/	2	< 0.1%
http://www.munkyourself.com/	2	< 0.1%
Other values (1681)	1686	35.1%
(Missing)	3096	64.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
http://www.missionimpossible.com	5	0.3%
http://www.transformersmovie.com	4	0.2%
http://www.thehungergames.movie	4	0.2%
http://www.kungfupanda.com	3	0.2%
http://www.thehobbit.com	3	0.2%
http://www.lordoftherings.net	3	0.2%
http://www.howtotrainyourdragon.com	2	0.1%
http://www.atlasshruggedmovie.com	2	0.1%
http://www.twilightthemovie.com	2	0.1%
http://www.teenagemutantninjaturtlesmovie.com	2	0.1%
Other values (1675)	1684	98.2%

Most occurring characters

Value	Count	Frequency (%)
t	5710	9.2%
/	5704	9.1%
e	4468	7.2%
o	4441	7.1%
w	4421	7.1%
m	3494	5.6%
.	3395	5.4%
h	3112	5.0%
i	3018	4.8%
c	2544	4.1%
Other values (68)	22069	35.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50005	80.2%
Other Punctuation	10857	17.4%
Dash Punctuation	613	1.0%
Decimal Number	557	0.9%
Uppercase Letter	245	0.4%
Connector Punctuation	68	0.1%
Math Symbol	22	< 0.1%
Close Punctuation	4	< 0.1%
Open Punctuation	4	< 0.1%
Space Separator	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	5710	11.4%
e	4468	8.9%
o	4441	8.9%
w	4421	8.8%
m	3494	7.0%
h	3112	6.2%
i	3018	6.0%
c	2544	5.1%
p	2348	4.7%
s	2281	4.6%
Other values (16)	14168	28.3%

Uppercase Letter

Value	Count	Frequency (%)
D	22	9.0%
T	20	8.2%
A	20	8.2%
M	19	7.8%
S	17	6.9%
E	14	5.7%
L	13	5.3%
G	12	4.9%
F	10	4.1%
B	10	4.1%
Other values (15)	88	35.9%

Decimal Number

Value	Count	Frequency (%)
2	104	18.7%
1	87	15.6%
0	84	15.1%
3	71	12.7%
9	44	7.9%
5	35	6.3%
4	34	6.1%
7	33	5.9%
6	33	5.9%
8	32	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	5704	52.5%
.	3395	31.3%
:	1714	15.8%
?	18	0.2%
#	18	0.2%
%	3	< 0.1%
&	3	< 0.1%
!	1	< 0.1%
,	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	3	75.0%
}	1	25.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	75.0%
{	1	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	613	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	68	100.0%

Math Symbol

Value	Count	Frequency (%)
=	22	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50250	80.6%
Common	12126	19.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	5710	11.4%
e	4468	8.9%
o	4441	8.8%
w	4421	8.8%
m	3494	7.0%
h	3112	6.2%
i	3018	6.0%
c	2544	5.1%
p	2348	4.7%
s	2281	4.5%
Other values (41)	14413	28.7%

Common

Value	Count	Frequency (%)
/	5704	47.0%
.	3395	28.0%
:	1714	14.1%
-	613	5.1%
2	104	0.9%
1	87	0.7%
0	84	0.7%
3	71	0.6%
_	68	0.6%
9	44	0.4%
Other values (17)	242	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62376	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	5710	9.2%
/	5704	9.1%
e	4468	7.2%
o	4441	7.1%
w	4421	7.1%
m	3494	5.6%
.	3395	5.4%
h	3112	5.0%
i	3018	4.8%
c	2544	4.1%
Other values (68)	22069	35.4%

id
Real number (ℝ)

Distinct	4803
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	57120.571

Minimum	5
Maximum	459488
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	75.1 KiB

Quantile statistics

Minimum	5
5-th percentile	577.4
Q1	9012
median	14624
Q3	58595
95-th percentile	285767
Maximum	459488
Range	459483
Interquartile range (IQR)	49583

Descriptive statistics

Standard deviation	88653.37
Coefficient of variation (CV)	1.5520393
Kurtosis	3.3549436
Mean	57120.571
Median Absolute Deviation (MAD)	12923
Skewness	2.073718
Sum	2.7469283 × 10⁸
Variance	7.85942 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10844	2	< 0.1%
1255	2	< 0.1%
72710	2	< 0.1%
268	2	< 0.1%
2661	2	< 0.1%
39269	2	< 0.1%
9671	1	< 0.1%
333355	1	< 0.1%
13483	1	< 0.1%
71157	1	< 0.1%
Other values (4793)	4793	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
16	1	< 0.1%
18	1	< 0.1%
19	1	< 0.1%
20	1	< 0.1%
22	1	< 0.1%

Value	Count	Frequency (%)
459488	1	< 0.1%
447027	1	< 0.1%
433715	1	< 0.1%
426469	1	< 0.1%
426067	1	< 0.1%
417859	1	< 0.1%
408429	1	< 0.1%
407887	1	< 0.1%
402515	1	< 0.1%
396152	1	< 0.1%

keywords
Categorical

Distinct	4222
Distinct (%)	87.8%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

[]	412
[{"id": 10183, "name": "independent film"}]	55
[{"id": 187056, "name": "woman director"}]	42
[{"id": 179431, "name": "duringcreditsstinger"}]	15
[{"id": 6075, "name": "sport"}]	13
Other values (4217)	4272

Length

Max length	3783
Median length	749
Mean length	277.02953
Min length	2

Characters and Unicode

Total characters	1332235
Distinct characters	54
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4186 ?
Unique (%)	87.0%

Sample

1st row	[{"id": 1463, "name": "culture clash"}, {"id": 2964, "name": "future"}, {"id": 3386, "name": "space war"}, {"id": 3388, "name": "space colony"}, {"id": 3679, "name": "society"}, {"id": 3801, "name": "space travel"}, {"id": 9685, "name": "futuristic"}, {"id": 9840, "name": "romance"}, {"id": 9882, "name": "space"}, {"id": 9951, "name": "alien"}, {"id": 10148, "name": "tribe"}, {"id": 10158, "name": "alien planet"}, {"id": 10987, "name": "cgi"}, {"id": 11399, "name": "marine"}, {"id": 13065, "name": "soldier"}, {"id": 14643, "name": "battle"}, {"id": 14720, "name": "love affair"}, {"id": 165431, "name": "anti war"}, {"id": 193554, "name": "power relations"}, {"id": 206690, "name": "mind and soul"}, {"id": 209714, "name": "3d"}]
2nd row	[{"id": 270, "name": "ocean"}, {"id": 726, "name": "drug abuse"}, {"id": 911, "name": "exotic island"}, {"id": 1319, "name": "east india trading company"}, {"id": 2038, "name": "love of one's life"}, {"id": 2052, "name": "traitor"}, {"id": 2580, "name": "shipwreck"}, {"id": 2660, "name": "strong woman"}, {"id": 3799, "name": "ship"}, {"id": 5740, "name": "alliance"}, {"id": 5941, "name": "calypso"}, {"id": 6155, "name": "afterlife"}, {"id": 6211, "name": "fighter"}, {"id": 12988, "name": "pirate"}, {"id": 157186, "name": "swashbuckler"}, {"id": 179430, "name": "aftercreditsstinger"}]
3rd row	[{"id": 470, "name": "spy"}, {"id": 818, "name": "based on novel"}, {"id": 4289, "name": "secret agent"}, {"id": 9663, "name": "sequel"}, {"id": 14555, "name": "mi6"}, {"id": 156095, "name": "british secret service"}, {"id": 158431, "name": "united kingdom"}]
4th row	[{"id": 849, "name": "dc comics"}, {"id": 853, "name": "crime fighter"}, {"id": 949, "name": "terrorist"}, {"id": 1308, "name": "secret identity"}, {"id": 1437, "name": "burglar"}, {"id": 3051, "name": "hostage drama"}, {"id": 3562, "name": "time bomb"}, {"id": 6969, "name": "gotham city"}, {"id": 7002, "name": "vigilante"}, {"id": 9665, "name": "cover-up"}, {"id": 9715, "name": "superhero"}, {"id": 9990, "name": "villainess"}, {"id": 10044, "name": "tragic hero"}, {"id": 13015, "name": "terrorism"}, {"id": 14796, "name": "destruction"}, {"id": 18933, "name": "catwoman"}, {"id": 156082, "name": "cat burglar"}, {"id": 156395, "name": "imax"}, {"id": 173272, "name": "flood"}, {"id": 179093, "name": "criminal underworld"}, {"id": 230775, "name": "batman"}]
5th row	[{"id": 818, "name": "based on novel"}, {"id": 839, "name": "mars"}, {"id": 1456, "name": "medallion"}, {"id": 3801, "name": "space travel"}, {"id": 7376, "name": "princess"}, {"id": 9951, "name": "alien"}, {"id": 10028, "name": "steampunk"}, {"id": 10539, "name": "martian"}, {"id": 10685, "name": "escape"}, {"id": 161511, "name": "edgar rice burroughs"}, {"id": 163252, "name": "alien race"}, {"id": 179102, "name": "superhuman strength"}, {"id": 190320, "name": "mars civilization"}, {"id": 195446, "name": "sword and planet"}, {"id": 207928, "name": "19th century"}, {"id": 209714, "name": "3d"}]

Common Values

Value	Count	Frequency (%)
[]	412	8.6%
[{"id": 10183, "name": "independent film"}]	55	1.1%
[{"id": 187056, "name": "woman director"}]	42	0.9%
[{"id": 179431, "name": "duringcreditsstinger"}]	15	0.3%
[{"id": 6075, "name": "sport"}]	13	0.3%
[{"id": 10183, "name": "independent film"}, {"id": 187056, "name": "woman director"}]	10	0.2%
[{"id": 4344, "name": "musical"}]	5	0.1%
[{"id": 5565, "name": "biography"}]	5	0.1%
[{"id": 9937, "name": "suspense"}]	5	0.1%
[{"id": 179430, "name": "aftercreditsstinger"}]	3	0.1%
Other values (4212)	4244	88.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
id	36243	22.1%
name	36242	22.1%
of	575	0.4%
on	566	0.3%
relationship	493	0.3%
based	487	0.3%
film	432	0.3%
	429	0.3%
woman	413	0.3%
love	361	0.2%
Other values (17077)	87512	53.4%

Most occurring characters

Value	Count	Frequency (%)
"	217450	16.3%
	158960	11.9%
e	74191	5.6%
:	72482	5.4%
,	68094	5.1%
i	66298	5.0%
a	65489	4.9%
n	61406	4.6%
d	49347	3.7%
m	47161	3.5%
Other values (44)	451357	33.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	565424	42.4%
Other Punctuation	358475	26.9%
Decimal Number	166784	12.5%
Space Separator	158960	11.9%
Open Punctuation	41073	3.1%
Close Punctuation	41073	3.1%
Dash Punctuation	445	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	74191	13.1%
i	66298	11.7%
a	65489	11.6%
n	61406	10.9%
d	49347	8.7%
m	47161	8.3%
r	28291	5.0%
o	24707	4.4%
t	24012	4.2%
s	22482	4.0%
Other values (16)	102040	18.0%

Decimal Number

Value	Count	Frequency (%)
1	30247	18.1%
2	16727	10.0%
3	16564	9.9%
0	15787	9.5%
5	15546	9.3%
6	15499	9.3%
4	14743	8.8%
9	14118	8.5%
7	13780	8.3%
8	13773	8.3%

Other Punctuation

Value	Count	Frequency (%)
"	217450	60.7%
:	72482	20.2%
,	68094	19.0%
.	182	0.1%
'	171	< 0.1%
\	91	< 0.1%
&	2	< 0.1%
/	2	< 0.1%
*	1	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
{	36241	88.2%
[	4809	11.7%
(	23	0.1%

Close Punctuation

Value	Count	Frequency (%)
}	36241	88.2%
]	4809	11.7%
)	23	0.1%

Space Separator

Value	Count	Frequency (%)
	158960	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	445	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	766811	57.6%
Latin	565424	42.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
"	217450	28.4%
	158960	20.7%
:	72482	9.5%
,	68094	8.9%
{	36241	4.7%
}	36241	4.7%
1	30247	3.9%
2	16727	2.2%
3	16564	2.2%
0	15787	2.1%
Other values (18)	98018	12.8%

Latin

Value	Count	Frequency (%)
e	74191	13.1%
i	66298	11.7%
a	65489	11.6%
n	61406	10.9%
d	49347	8.7%
m	47161	8.3%
r	28291	5.0%
o	24707	4.4%
t	24012	4.2%
s	22482	4.0%
Other values (16)	102040	18.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1332235	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	217450	16.3%
	158960	11.9%
e	74191	5.6%
:	72482	5.4%
,	68094	5.1%
i	66298	5.0%
a	65489	4.9%
n	61406	4.6%
d	49347	3.7%
m	47161	3.5%
Other values (44)	451357	33.9%

original_language
Categorical

Distinct	37
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

en	4510
fr	70
es	32
zh	27
de	27
Other values (32)	143

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	9618
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.3%

Sample

1st row	en
2nd row	en
3rd row	en
4th row	en
5th row	en

Common Values

Value	Count	Frequency (%)
en	4510	93.8%
fr	70	1.5%
es	32	0.7%
zh	27	0.6%
de	27	0.6%
hi	19	0.4%
ja	16	0.3%
it	14	0.3%
ko	12	0.2%
cn	12	0.2%
Other values (27)	70	1.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
en	4510	93.8%
fr	70	1.5%
es	32	0.7%
zh	27	0.6%
de	27	0.6%
hi	19	0.4%
ja	16	0.3%
it	14	0.3%
ko	12	0.2%
cn	12	0.2%
Other values (27)	70	1.5%

Most occurring characters

Value	Count	Frequency (%)
e	4574	47.6%
n	4528	47.1%
r	86	0.9%
f	75	0.8%
h	53	0.6%
s	42	0.4%
i	37	0.4%
d	36	0.4%
a	32	0.3%
t	30	0.3%
Other values (12)	125	1.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9618	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4574	47.6%
n	4528	47.1%
r	86	0.9%
f	75	0.8%
h	53	0.6%
s	42	0.4%
i	37	0.4%
d	36	0.4%
a	32	0.3%
t	30	0.3%
Other values (12)	125	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9618	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4574	47.6%
n	4528	47.1%
r	86	0.9%
f	75	0.8%
h	53	0.6%
s	42	0.4%
i	37	0.4%
d	36	0.4%
a	32	0.3%
t	30	0.3%
Other values (12)	125	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9618	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4574	47.6%
n	4528	47.1%
r	86	0.9%
f	75	0.8%
h	53	0.6%
s	42	0.4%
i	37	0.4%
d	36	0.4%
a	32	0.3%
t	30	0.3%
Other values (12)	125	1.3%

original_title
Categorical

HIGH CARDINALITY UNIFORM

Distinct	4801
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

Out of the Blue	4
Batman	4
괴물	2
The Host	2
La Fille du RER	1
Other values (4796)	4796

Length

Max length	86
Median length	59
Mean length	15.214806
Min length	1

Characters and Unicode

Total characters	73168
Distinct characters	410
Distinct categories	19 ?
Distinct scripts	13 ?
Distinct blocks	14 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4797 ?
Unique (%)	99.8%

Sample

1st row	Avatar
2nd row	Pirates of the Caribbean: At World's End
3rd row	Spectre
4th row	The Dark Knight Rises
5th row	John Carter

Common Values

Value	Count	Frequency (%)
Out of the Blue	4	0.1%
Batman	4	0.1%
괴물	2	< 0.1%
The Host	2	< 0.1%
La Fille du RER	1	< 0.1%
Awake	1	< 0.1%
Polisse	1	< 0.1%
Beneath Hill 60	1	< 0.1%
The I Inside	1	< 0.1%
Ultramarines: A Warhammer 40,000 Movie	1	< 0.1%
Other values (4791)	4791	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1423	10.7%
of	434	3.3%
a	168	1.3%
and	127	1.0%
in	110	0.8%
2	102	0.8%
to	102	0.8%
	80	0.6%
man	65	0.5%
love	53	0.4%
Other values (5055)	10586	79.9%

Most occurring characters

Value	Count	Frequency (%)
	8443	11.5%
e	7417	10.1%
a	4629	6.3%
o	4373	6.0%
r	3892	5.3%
n	3887	5.3%
i	3723	5.1%
t	3607	4.9%
s	2858	3.9%
h	2720	3.7%
Other values (400)	27619	37.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	51436	70.3%
Uppercase Letter	11421	15.6%
Space Separator	8443	11.5%
Other Punctuation	906	1.2%
Decimal Number	494	0.7%
Other Letter	330	0.5%
Dash Punctuation	84	0.1%
Spacing Mark	16	< 0.1%
Nonspacing Mark	8	< 0.1%
Open Punctuation	6	< 0.1%
Other values (9)	24	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
の	7	2.1%
ا	7	2.1%
ی	6	1.8%
三	5	1.5%
的	4	1.2%
城	4	1.2%
ن	4	1.2%
क	4	1.2%
د	3	0.9%
一	3	0.9%
Other values (229)	283	85.8%

Lowercase Letter

Value	Count	Frequency (%)
e	7417	14.4%
a	4629	9.0%
o	4373	8.5%
r	3892	7.6%
n	3887	7.6%
i	3723	7.2%
t	3607	7.0%
s	2858	5.6%
h	2720	5.3%
l	2428	4.7%
Other values (70)	11902	23.1%

Uppercase Letter

Value	Count	Frequency (%)
T	1563	13.7%
S	972	8.5%
M	777	6.8%
B	737	6.5%
D	680	6.0%
C	638	5.6%
A	618	5.4%
L	565	4.9%
H	527	4.6%
P	470	4.1%
Other values (27)	3874	33.9%

Other Punctuation

Value	Count	Frequency (%)
:	341	37.6%
'	222	24.5%
.	141	15.6%
,	75	8.3%
&	60	6.6%
!	35	3.9%
?	18	2.0%
/	7	0.8%
#	2	0.2%
*	2	0.2%
Other values (3)	3	0.3%

Decimal Number

Value	Count	Frequency (%)
2	144	29.1%
1	78	15.8%
0	74	15.0%
3	74	15.0%
4	35	7.1%
8	21	4.3%
5	21	4.3%
9	17	3.4%
6	15	3.0%
7	15	3.0%

Spacing Mark

Value	Count	Frequency (%)
ी	5	31.2%
ா	3	18.8%
ा	3	18.8%
ு	2	12.5%
ि	2	12.5%
ो	1	6.2%

Nonspacing Mark

Value	Count	Frequency (%)
ุ	2	25.0%
้	2	25.0%
்	1	12.5%
ृ	1	12.5%
ิ	1	12.5%
े	1	12.5%

Other Number

Value	Count	Frequency (%)
³	1	25.0%
½	1	25.0%
²	1	25.0%
⅓	1	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	82	97.6%
–	2	2.4%

Open Punctuation

Value	Count	Frequency (%)
(	4	66.7%
[	2	33.3%

Close Punctuation

Value	Count	Frequency (%)
)	4	66.7%
]	2	33.3%

Currency Symbol

Value	Count	Frequency (%)
$	3	60.0%
¢	2	40.0%

Space Separator

Value	Count	Frequency (%)
	8443	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	3	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	1	100.0%

Format

Value	Count	Frequency (%)
‌	1	100.0%

Other Symbol

Value	Count	Frequency (%)
°	1	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	62720	85.7%
Common	9956	13.6%
Han	160	0.2%
Cyrillic	127	0.2%
Hangul	47	0.1%
Arabic	39	0.1%
Devanagari	35	< 0.1%
Katakana	26	< 0.1%
Hiragana	17	< 0.1%
Thai	17	< 0.1%
Other values (3)	24	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
三	5	3.1%
的	4	2.5%
城	4	2.5%
一	3	1.9%
十	3	1.9%
人	3	1.9%
風	2	1.2%
暴	2	1.2%
金	2	1.2%
黃	2	1.2%
Other values (113)	130	81.2%

Latin

Value	Count	Frequency (%)
e	7417	11.8%
a	4629	7.4%
o	4373	7.0%
r	3892	6.2%
n	3887	6.2%
i	3723	5.9%
t	3607	5.8%
s	2858	4.6%
h	2720	4.3%
l	2428	3.9%
Other values (62)	23186	37.0%

Common

Value	Count	Frequency (%)
	8443	84.8%
:	341	3.4%
'	222	2.2%
2	144	1.4%
.	141	1.4%
-	82	0.8%
1	78	0.8%
,	75	0.8%
0	74	0.7%
3	74	0.7%
Other values (31)	282	2.8%

Hangul

Value	Count	Frequency (%)
놈	3	6.4%
괴	2	4.3%
물	2	4.3%
이	2	4.3%
상	2	4.3%
한	2	4.3%
자	1	2.1%
씨	1	2.1%
올	1	2.1%
드	1	2.1%
Other values (30)	30	63.8%

Cyrillic

Value	Count	Frequency (%)
о	18	14.2%
е	10	7.9%
а	10	7.9%
р	9	7.1%
н	8	6.3%
л	7	5.5%
в	6	4.7%
и	6	4.7%
С	5	3.9%
б	4	3.1%
Other values (26)	44	34.6%

Devanagari

Value	Count	Frequency (%)
ी	5	14.3%
क	4	11.4%
ा	3	8.6%
भ	2	5.7%
ल	2	5.7%
द	2	5.7%
ह	2	5.7%
न	2	5.7%
ि	2	5.7%
ए	1	2.9%
Other values (10)	10	28.6%

Katakana

Value	Count	Frequency (%)
キ	3	11.5%
ラ	2	7.7%
ア	2	7.7%
ン	2	7.7%
ハ	2	7.7%
シ	1	3.8%
ジ	1	3.8%
ゴ	1	3.8%
ョ	1	3.8%
ニ	1	3.8%
Other values (10)	10	38.5%

Arabic

Value	Count	Frequency (%)
ا	7	17.9%
ی	6	15.4%
ن	4	10.3%
د	3	7.7%
ه	3	7.7%
س	3	7.7%
ر	3	7.7%
م	2	5.1%
ب	2	5.1%
آ	1	2.6%
Other values (5)	5	12.8%

Thai

Value	Count	Frequency (%)
ุ	2	11.8%
้	2	11.8%
ย	2	11.8%
ม	1	5.9%
ก	1	5.9%
ง	1	5.9%
ต	1	5.9%
ท	1	5.9%
ำ	1	5.9%
ไ	1	5.9%
Other values (4)	4	23.5%

Hiragana

Value	Count	Frequency (%)
の	7	41.2%
だ	2	11.8%
け	1	5.9%
も	1	5.9%
く	1	5.9%
と	1	5.9%
し	1	5.9%
ま	1	5.9%
あ	1	5.9%
よ	1	5.9%

Tamil

Value	Count	Frequency (%)
ா	3	23.1%
ன	2	15.4%
ு	2	15.4%
வ	1	7.7%
ல	1	7.7%
்	1	7.7%
ஜ	1	7.7%
ம	1	7.7%
ர	1	7.7%

Greek

Value	Count	Frequency (%)
ν	2	20.0%
Κ	1	10.0%
υ	1	10.0%
ό	1	10.0%
δ	1	10.0%
ο	1	10.0%
τ	1	10.0%
α	1	10.0%
ς	1	10.0%

Inherited

Value	Count	Frequency (%)
‌	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72604	99.2%
CJK	160	0.2%
Cyrillic	127	0.2%
None	72	0.1%
Hangul	47	0.1%
Arabic	39	0.1%
Devanagari	35	< 0.1%
Katakana	28	< 0.1%
Hiragana	17	< 0.1%
Thai	17	< 0.1%
Other values (4)	22	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8443	11.6%
e	7417	10.2%
a	4629	6.4%
o	4373	6.0%
r	3892	5.4%
n	3887	5.4%
i	3723	5.1%
t	3607	5.0%
s	2858	3.9%
h	2720	3.7%
Other values (71)	27055	37.3%

None

Value	Count	Frequency (%)
é	18	25.0%
à	4	5.6%
ó	4	5.6%
è	4	5.6%
á	3	4.2%
å	3	4.2%
í	3	4.2%
ñ	2	2.8%
ø	2	2.8%
ă	2	2.8%
Other values (24)	27	37.5%

Cyrillic

Value	Count	Frequency (%)
о	18	14.2%
е	10	7.9%
а	10	7.9%
р	9	7.1%
н	8	6.3%
л	7	5.5%
в	6	4.7%
и	6	4.7%
С	5	3.9%
б	4	3.1%
Other values (26)	44	34.6%

Hiragana

Value	Count	Frequency (%)
の	7	41.2%
だ	2	11.8%
け	1	5.9%
も	1	5.9%
く	1	5.9%
と	1	5.9%
し	1	5.9%
ま	1	5.9%
あ	1	5.9%
よ	1	5.9%

Arabic

Value	Count	Frequency (%)
ا	7	17.9%
ی	6	15.4%
ن	4	10.3%
د	3	7.7%
ه	3	7.7%
س	3	7.7%
ر	3	7.7%
م	2	5.1%
ب	2	5.1%
آ	1	2.6%
Other values (5)	5	12.8%

Devanagari

Value	Count	Frequency (%)
ी	5	14.3%
क	4	11.4%
ा	3	8.6%
भ	2	5.7%
ल	2	5.7%
द	2	5.7%
ह	2	5.7%
न	2	5.7%
ि	2	5.7%
ए	1	2.9%
Other values (10)	10	28.6%

CJK

Value	Count	Frequency (%)
三	5	3.1%
的	4	2.5%
城	4	2.5%
一	3	1.9%
十	3	1.9%
人	3	1.9%
風	2	1.2%
暴	2	1.2%
金	2	1.2%
黃	2	1.2%
Other values (113)	130	81.2%

Punctuation

Value	Count	Frequency (%)
’	3	42.9%
–	2	28.6%
‌	1	14.3%
‧	1	14.3%

Tamil

Value	Count	Frequency (%)
ா	3	23.1%
ன	2	15.4%
ு	2	15.4%
வ	1	7.7%
ல	1	7.7%
்	1	7.7%
ஜ	1	7.7%
ம	1	7.7%
ர	1	7.7%

Katakana

Value	Count	Frequency (%)
キ	3	10.7%
ラ	2	7.1%
ア	2	7.1%
ン	2	7.1%
ハ	2	7.1%
・	1	3.6%
シ	1	3.6%
ジ	1	3.6%
ゴ	1	3.6%
ョ	1	3.6%
Other values (12)	12	42.9%

Hangul

Value	Count	Frequency (%)
놈	3	6.4%
괴	2	4.3%
물	2	4.3%
이	2	4.3%
상	2	4.3%
한	2	4.3%
자	1	2.1%
씨	1	2.1%
올	1	2.1%
드	1	2.1%
Other values (30)	30	63.8%

Thai

Value	Count	Frequency (%)
ุ	2	11.8%
้	2	11.8%
ย	2	11.8%
ม	1	5.9%
ก	1	5.9%
ง	1	5.9%
ต	1	5.9%
ท	1	5.9%
ำ	1	5.9%
ไ	1	5.9%
Other values (4)	4	23.5%

Latin Ext Additional

Value	Count	Frequency (%)
ợ	1	100.0%

Number Forms

Value	Count	Frequency (%)
⅓	1	100.0%

overview
Categorical

HIGH CARDINALITY UNIFORM

Distinct	4800
Distinct (%)	99.9%
Missing	3
Missing (%)	0.1%
Memory size	75.1 KiB

Gang-du is a dim-witted man working at his father's tiny snack bar near the Han River. One day, Gang-du's one and only daughter Hyun-seo comes back from school irritated. She is angry at her uncle, Nam-il, who visited her school as her guardian shamelessly drunk. Ignoring her father's excuses for Nam-il, Hyun-seo is soon engrossed in her aunt Nam-joo's archery tournament on TV. Meanwhile, outside of the snack bar, people are fascinated by an unidentified object hanging onto a bridge. In an instant, the object reveals itself as a terrifying creature turning the riverbank into a gruesome sea of blood¡¦ Amid the chaos, Hyun-seo is helplessly snatched up by the creature right before Gang-du's eyes. These unforeseen circumstances render the government powerless to act. But receiving a call of help from Hyun-seo, the once-ordinary citizen Gang-du and his family are thrust into a battle with the monster to rescue their beloved Hyun-seo.	2
A parasitic alien soul is injected into the body of Melanie Stryder. Instead of carrying out her race's mission of taking over the Earth, "Wanda" (as she comes to be called) forms a bond with her host and sets out to aid other free humans.	2
The Dark Knight of Gotham City begins his war on crime with his first major enemy being the clownishly homicidal Joker, who has seized control of Gotham's underworld.	2
The Dynamic Duo faces four super-villains who plan to hold the world for ransom with the help of a secret invention that instantly dehydrates people.	2
Dennis Hopper is a hard-drinking truck driver who loses control of his truck under the influence and slams it into a busload of screaming children. After serving his five year jail sentence, Hopper finds his daughter, Cebe (Linda Manz), the love of his live, grown into a rebellious punk in a backwater town, having barely been looked after by her junkie mon (Sharron Farrell). Cebe's hopes of once again becoming a "normal" family painfully proves to be doomed, as she desperately tries to hold everyone together. Hopper's loose, naturalistic style and sympathetic, yet critical attitude infuses the drama with a painful power that finally erupts in a devastating and thrillling conclusion.	2
Other values (4795)	4796

Length

Max length	1000
Median length	625
Mean length	305.5695
Min length	1

Characters and Unicode

Total characters	1468567
Distinct characters	127
Distinct categories	19 ?
Distinct scripts	2 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4794 ?
Unique (%)	99.8%

Sample

1st row	In the 22nd century, a paraplegic Marine is dispatched to the moon Pandora on a unique mission, but becomes torn between following orders and protecting an alien civilization.
2nd row	Captain Barbossa, long believed to be dead, has come back to life and is headed to the edge of the Earth with Will Turner and Elizabeth Swann. But nothing is quite as it seems.
3rd row	A cryptic message from Bond’s past sends him on a trail to uncover a sinister organization. While M battles political forces to keep the secret service alive, Bond peels back the layers of deceit to reveal the terrible truth behind SPECTRE.
4th row	Following the death of District Attorney Harvey Dent, Batman assumes responsibility for Dent's crimes to protect the late attorney's reputation and is subsequently hunted by the Gotham City Police Department. Eight years later, Batman encounters the mysterious Selina Kyle and the villainous Bane, a new terrorist leader who overwhelms Gotham's finest. The Dark Knight resurfaces to protect a city that has branded him an enemy.
5th row	John Carter is a war-weary, former military captain who's inexplicably transported to the mysterious and exotic planet of Barsoom (Mars) and reluctantly becomes embroiled in an epic conflict. It's a world on the brink of collapse, and Carter rediscovers his humanity when he realizes the survival of Barsoom and its people rests in his hands.

Common Values

Value	Count	Frequency (%)
Gang-du is a dim-witted man working at his father's tiny snack bar near the Han River. One day, Gang-du's one and only daughter Hyun-seo comes back from school irritated. She is angry at her uncle, Nam-il, who visited her school as her guardian shamelessly drunk. Ignoring her father's excuses for Nam-il, Hyun-seo is soon engrossed in her aunt Nam-joo's archery tournament on TV. Meanwhile, outside of the snack bar, people are fascinated by an unidentified object hanging onto a bridge. In an instant, the object reveals itself as a terrifying creature turning the riverbank into a gruesome sea of blood¡¦ Amid the chaos, Hyun-seo is helplessly snatched up by the creature right before Gang-du's eyes. These unforeseen circumstances render the government powerless to act. But receiving a call of help from Hyun-seo, the once-ordinary citizen Gang-du and his family are thrust into a battle with the monster to rescue their beloved Hyun-seo.	2	< 0.1%
A parasitic alien soul is injected into the body of Melanie Stryder. Instead of carrying out her race's mission of taking over the Earth, "Wanda" (as she comes to be called) forms a bond with her host and sets out to aid other free humans.	2	< 0.1%
The Dark Knight of Gotham City begins his war on crime with his first major enemy being the clownishly homicidal Joker, who has seized control of Gotham's underworld.	2	< 0.1%
The Dynamic Duo faces four super-villains who plan to hold the world for ransom with the help of a secret invention that instantly dehydrates people.	2	< 0.1%
Dennis Hopper is a hard-drinking truck driver who loses control of his truck under the influence and slams it into a busload of screaming children. After serving his five year jail sentence, Hopper finds his daughter, Cebe (Linda Manz), the love of his live, grown into a rebellious punk in a backwater town, having barely been looked after by her junkie mon (Sharron Farrell). Cebe's hopes of once again becoming a "normal" family painfully proves to be doomed, as she desperately tries to hold everyone together. Hopper's loose, naturalistic style and sympathetic, yet critical attitude infuses the drama with a painful power that finally erupts in a devastating and thrillling conclusion.	2	< 0.1%
Ordinary people find extraordinary courage in the face of madness. On 13–14 November 1990 that madness came to Aramoana, a small New Zealand seaside town, in the form of a lone gunman with a high-powered semi-automatic rifle. As he stalked his victims the terrified and confused residents were trapped for 24 hours while a handful of under-resourced and under-armed local policemen risked their lives trying to find him and save the survivors. Based on true events.	2	< 0.1%
After a frantic suicide attempt, Veronika awakens inside a mysterious mental asylum. Under the supervision of an unorthodox psychiatrist who specializes in controversial treatment, Veronika learns that she has only weeks to live.	1	< 0.1%
The daily grind for the cops of the Police Department's Juvenile Protection Unit - taking in child molesters, busting underage pickpockets, interrogating abusive parents, confronting the excesses of teen sexuality, enjoying solidarity with colleagues and laughing uncontrollably at the most unthinkable moments. Knowing the worst exists and living with it. How do these cops balance their private lives and the reality they confront every working day? Fred, the group's hypersensitive wild card, is going to have a hard time facing the scrutiny of Melissa, a photographer on a Ministry of the Interior assignment to document the unit.	1	< 0.1%
The true story of Australia's cat-and-mouse underground mine warfare – one of the most misunderstood, misrepresented and mystifying conflicts of WW I. It was a secret struggle BENEATH the Western Front that combined daring engineering, technology and science, and few on the surface knew of the brave, claustrophobic and sometimes barbaric work of these tunnellers.	1	< 0.1%
Simon Cable wakes up in a hospital bed, confused and disoriented. He soon discovers from doctors that he has amnesia and is unable to remember the last two years of his life. Cable investigates what has happened to him and slowly pieces together his enigmatic past.	1	< 0.1%
Other values (4790)	4790	99.6%
(Missing)	3	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	13917	5.5%
a	10472	4.2%
to	7934	3.2%
and	7397	2.9%
of	6883	2.7%
in	4542	1.8%
his	4003	1.6%
is	3375	1.3%
with	2539	1.0%
her	2171	0.9%
Other values (24224)	187559	74.8%

Most occurring characters

Value	Count	Frequency (%)
	246143	16.8%
e	141432	9.6%
t	97254	6.6%
a	95079	6.5%
i	85480	5.8%
o	84526	5.8%
n	84180	5.7%
s	78483	5.3%
r	77306	5.3%
h	62052	4.2%
Other values (117)	416632	28.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1141915	77.8%
Space Separator	246147	16.8%
Uppercase Letter	39098	2.7%
Other Punctuation	31043	2.1%
Dash Punctuation	4495	0.3%
Decimal Number	3925	0.3%
Open Punctuation	760	0.1%
Close Punctuation	757	0.1%
Final Punctuation	310	< 0.1%
Initial Punctuation	49	< 0.1%
Other values (9)	68	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	141432	12.4%
t	97254	8.5%
a	95079	8.3%
i	85480	7.5%
o	84526	7.4%
n	84180	7.4%
s	78483	6.9%
r	77306	6.8%
h	62052	5.4%
l	48767	4.3%
Other values (36)	287356	25.2%

Uppercase Letter

Value	Count	Frequency (%)
A	4453	11.4%
T	3272	8.4%
S	2937	7.5%
B	2673	6.8%
C	2470	6.3%
M	2310	5.9%
W	2099	5.4%
H	1817	4.6%
D	1686	4.3%
I	1607	4.1%
Other values (18)	13774	35.2%

Other Punctuation

Value	Count	Frequency (%)
,	13409	43.2%
.	12076	38.9%
'	3586	11.6%
"	1025	3.3%
:	284	0.9%
?	218	0.7%
;	175	0.6%
!	142	0.5%
/	57	0.2%
…	35	0.1%
Other values (5)	36	0.1%

Decimal Number

Value	Count	Frequency (%)
1	929	23.7%
0	822	20.9%
9	570	14.5%
2	372	9.5%
5	231	5.9%
7	224	5.7%
8	206	5.2%
3	200	5.1%
4	191	4.9%
6	180	4.6%

Dash Punctuation

Value	Count	Frequency (%)
-	4226	94.0%
–	206	4.6%
—	62	1.4%
―	1	< 0.1%

Math Symbol

Value	Count	Frequency (%)
+	2	40.0%
−	1	20.0%
~	1	20.0%
\|	1	20.0%

Space Separator

Value	Count	Frequency (%)
	246143	> 99.9%
	4	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	758	99.7%
[	2	0.3%

Close Punctuation

Value	Count	Frequency (%)
)	756	99.9%
]	1	0.1%

Final Punctuation

Value	Count	Frequency (%)
’	275	88.7%
”	35	11.3%

Currency Symbol

Value	Count	Frequency (%)
$	45	97.8%
£	1	2.2%

Initial Punctuation

Value	Count	Frequency (%)
“	35	71.4%
‘	14	28.6%

Other Symbol

Value	Count	Frequency (%)
®	3	60.0%
¦	2	40.0%

Control

Value	Count	Frequency (%)
	3	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3	100.0%

Format

Value	Count	Frequency (%)
	3	100.0%

Other Number

Value	Count	Frequency (%)
¹	1	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Modifier Letter

Value	Count	Frequency (%)
ʼ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1181013	80.4%
Common	287554	19.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	141432	12.0%
t	97254	8.2%
a	95079	8.1%
i	85480	7.2%
o	84526	7.2%
n	84180	7.1%
s	78483	6.6%
r	77306	6.5%
h	62052	5.3%
l	48767	4.1%
Other values (64)	326454	27.6%

Common

Value	Count	Frequency (%)
	246143	85.6%
,	13409	4.7%
.	12076	4.2%
-	4226	1.5%
'	3586	1.2%
"	1025	0.4%
1	929	0.3%
0	822	0.3%
(	758	0.3%
)	756	0.3%
Other values (43)	3824	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1467729	99.9%
Punctuation	663	< 0.1%
None	172	< 0.1%
Math Operators	1	< 0.1%
Alphabetic PF	1	< 0.1%
Modifier Letters	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	246143	16.8%
e	141432	9.6%
t	97254	6.6%
a	95079	6.5%
i	85480	5.8%
o	84526	5.8%
n	84180	5.7%
s	78483	5.3%
r	77306	5.3%
h	62052	4.2%
Other values (77)	415794	28.3%

Punctuation

Value	Count	Frequency (%)
’	275	41.5%
–	206	31.1%
—	62	9.4%
…	35	5.3%
”	35	5.3%
“	35	5.3%
‘	14	2.1%
―	1	0.2%

None

Value	Count	Frequency (%)
é	92	53.5%
á	12	7.0%
ó	8	4.7%
í	4	2.3%
è	4	2.3%
ï	4	2.3%
ö	4	2.3%
	4	2.3%
ç	4	2.3%
î	3	1.7%
Other values (19)	33	19.2%

Math Operators

Value	Count	Frequency (%)
−	1	100.0%

Alphabetic PF

Value	Count	Frequency (%)
ﬁ	1	100.0%

Modifier Letters

Value	Count	Frequency (%)
ʼ	1	100.0%

popularity
Real number (ℝ)

Distinct	4802
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.491664

Minimum	0
Maximum	875.58131
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	75.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3633678
Q1	4.66723
median	12.921594
Q3	28.350529
95-th percentile	67.369865
Maximum	875.58131
Range	875.58131
Interquartile range (IQR)	23.683299

Descriptive statistics

Standard deviation	31.803366
Coefficient of variation (CV)	1.4798001
Kurtosis	192.07871
Mean	21.491664
Median Absolute Deviation (MAD)	9.818732
Skewness	9.7215237
Sum	103353.41
Variance	1011.4541
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27.65527	2	< 0.1%
44.104469	2	< 0.1%
0.706355	2	< 0.1%
8.902102	2	< 0.1%
9.815394	2	< 0.1%
0.679351	2	< 0.1%
42.933027	2	< 0.1%
1.458884	1	< 0.1%
7.028946	1	< 0.1%
2.009597	1	< 0.1%
Other values (4792)	4792	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
0.000372	1	< 0.1%
0.001117	1	< 0.1%
0.001186	1	< 0.1%
0.001389	1	< 0.1%
0.001586	1	< 0.1%
0.002386	1	< 0.1%
0.002388	1	< 0.1%
0.003142	1	< 0.1%
0.003352	1	< 0.1%

Value	Count	Frequency (%)
875.581305	1	< 0.1%
724.247784	1	< 0.1%
514.569956	1	< 0.1%
481.098624	1	< 0.1%
434.278564	1	< 0.1%
418.708552	1	< 0.1%
271.972889	1	< 0.1%
243.791743	1	< 0.1%
206.227151	1	< 0.1%
203.73459	1	< 0.1%

production_companies
Categorical

Distinct	3697
Distinct (%)	76.9%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

[]	352
[{"name": "Paramount Pictures", "id": 4}]	58
[{"name": "Universal Pictures", "id": 33}]	45
[{"name": "New Line Cinema", "id": 12}]	38
[{"name": "Columbia Pictures", "id": 5}]	37
Other values (3692)	4279

Length

Max length	1155
Median length	469
Mean length	128.0052
Min length	2

Characters and Unicode

Total characters	615577
Distinct characters	83
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3492 ?
Unique (%)	72.6%

Sample

1st row	[{"name": "Ingenious Film Partners", "id": 289}, {"name": "Twentieth Century Fox Film Corporation", "id": 306}, {"name": "Dune Entertainment", "id": 444}, {"name": "Lightstorm Entertainment", "id": 574}]
2nd row	[{"name": "Walt Disney Pictures", "id": 2}, {"name": "Jerry Bruckheimer Films", "id": 130}, {"name": "Second Mate Productions", "id": 19936}]
3rd row	[{"name": "Columbia Pictures", "id": 5}, {"name": "Danjaq", "id": 10761}, {"name": "B24", "id": 69434}]
4th row	[{"name": "Legendary Pictures", "id": 923}, {"name": "Warner Bros.", "id": 6194}, {"name": "DC Entertainment", "id": 9993}, {"name": "Syncopy", "id": 9996}]
5th row	[{"name": "Walt Disney Pictures", "id": 2}]

Common Values

Value	Count	Frequency (%)
[]	352	7.3%
[{"name": "Paramount Pictures", "id": 4}]	58	1.2%
[{"name": "Universal Pictures", "id": 33}]	45	0.9%
[{"name": "New Line Cinema", "id": 12}]	38	0.8%
[{"name": "Columbia Pictures", "id": 5}]	37	0.8%
[{"name": "Metro-Goldwyn-Mayer (MGM)", "id": 8411}]	32	0.7%
[{"name": "Twentieth Century Fox Film Corporation", "id": 306}]	31	0.6%
[{"name": "Warner Bros.", "id": 6194}]	27	0.6%
[{"name": "Walt Disney Pictures", "id": 2}]	27	0.6%
[{"name": "Touchstone Pictures", "id": 9195}]	26	0.5%
Other values (3687)	4136	86.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
id	13693	18.1%
name	13693	18.1%
pictures	2586	3.4%
films	1884	2.5%
productions	1833	2.4%
entertainment	1568	2.1%
film	916	1.2%
	539	0.7%
corporation	405	0.5%
fox	373	0.5%
Other values (10124)	38337	50.6%

Most occurring characters

Value	Count	Frequency (%)
"	82160	13.3%
	71018	11.5%
i	34564	5.6%
e	34245	5.6%
n	32642	5.3%
a	28344	4.6%
:	27387	4.4%
,	23003	3.7%
m	22280	3.6%
d	19899	3.2%
Other values (73)	240035	39.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	279552	45.4%
Other Punctuation	134257	21.8%
Space Separator	71018	11.5%
Decimal Number	54753	8.9%
Uppercase Letter	37473	6.1%
Close Punctuation	18955	3.1%
Open Punctuation	18955	3.1%
Dash Punctuation	501	0.1%
Math Symbol	113	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	34564	12.4%
e	34245	12.2%
n	32642	11.7%
a	28344	10.1%
m	22280	8.0%
d	19899	7.1%
t	18406	6.6%
r	17202	6.2%
o	15582	5.6%
s	12776	4.6%
Other values (16)	43612	15.6%

Uppercase Letter

Value	Count	Frequency (%)
P	6174	16.5%
F	4440	11.8%
C	3710	9.9%
M	2429	6.5%
E	2338	6.2%
S	2243	6.0%
T	1646	4.4%
B	1567	4.2%
A	1428	3.8%
G	1412	3.8%
Other values (16)	10086	26.9%

Other Punctuation

Value	Count	Frequency (%)
"	82160	61.2%
:	27387	20.4%
,	23003	17.1%
.	836	0.6%
\	455	0.3%
/	176	0.1%
&	161	0.1%
'	71	0.1%
!	4	< 0.1%
@	2	< 0.1%
Other values (2)	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	8464	15.5%
2	6461	11.8%
3	5974	10.9%
4	5542	10.1%
0	5410	9.9%
5	4948	9.0%
6	4705	8.6%
9	4584	8.4%
7	4355	8.0%
8	4310	7.9%

Close Punctuation

Value	Count	Frequency (%)
}	13693	72.2%
]	4809	25.4%
)	453	2.4%

Open Punctuation

Value	Count	Frequency (%)
{	13693	72.2%
[	4809	25.4%
(	453	2.4%

Space Separator

Value	Count	Frequency (%)
	71018	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	501	100.0%

Math Symbol

Value	Count	Frequency (%)
+	113	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	317025	51.5%
Common	298552	48.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	34564	10.9%
e	34245	10.8%
n	32642	10.3%
a	28344	8.9%
m	22280	7.0%
d	19899	6.3%
t	18406	5.8%
r	17202	5.4%
o	15582	4.9%
s	12776	4.0%
Other values (42)	81085	25.6%

Common

Value	Count	Frequency (%)
"	82160	27.5%
	71018	23.8%
:	27387	9.2%
,	23003	7.7%
}	13693	4.6%
{	13693	4.6%
1	8464	2.8%
2	6461	2.2%
3	5974	2.0%
4	5542	1.9%
Other values (21)	41157	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	615577	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	82160	13.3%
	71018	11.5%
i	34564	5.6%
e	34245	5.6%
n	32642	5.3%
a	28344	4.6%
:	27387	4.4%
,	23003	3.7%
m	22280	3.6%
d	19899	3.2%
Other values (73)	240035	39.0%

production_countries
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	469
Distinct (%)	9.8%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

[{"iso_3166_1": "US", "name": "United States of America"}]	2979
[{"iso_3166_1": "GB", "name": "United Kingdom"}, {"iso_3166_1": "US", "name": "United States of America"}]	182
[]	174
[{"iso_3166_1": "GB", "name": "United Kingdom"}]	131
[{"iso_3166_1": "DE", "name": "Germany"}, {"iso_3166_1": "US", "name": "United States of America"}]	119
Other values (464)	1224

Length

Max length	517
Median length	58
Mean length	69.907257
Min length	2

Characters and Unicode

Total characters	336184
Distinct characters	61
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	353 ?
Unique (%)	7.3%

Sample

1st row	[{"iso_3166_1": "US", "name": "United States of America"}, {"iso_3166_1": "GB", "name": "United Kingdom"}]
2nd row	[{"iso_3166_1": "US", "name": "United States of America"}]
3rd row	[{"iso_3166_1": "GB", "name": "United Kingdom"}, {"iso_3166_1": "US", "name": "United States of America"}]
4th row	[{"iso_3166_1": "US", "name": "United States of America"}]
5th row	[{"iso_3166_1": "US", "name": "United States of America"}]

Common Values

Value	Count	Frequency (%)
[{"iso_3166_1": "US", "name": "United States of America"}]	2979	61.9%
[{"iso_3166_1": "GB", "name": "United Kingdom"}, {"iso_3166_1": "US", "name": "United States of America"}]	182	3.8%
[]	174	3.6%
[{"iso_3166_1": "GB", "name": "United Kingdom"}]	131	2.7%
[{"iso_3166_1": "DE", "name": "Germany"}, {"iso_3166_1": "US", "name": "United States of America"}]	119	2.5%
[{"iso_3166_1": "CA", "name": "Canada"}, {"iso_3166_1": "US", "name": "United States of America"}]	88	1.8%
[{"iso_3166_1": "FR", "name": "France"}]	49	1.0%
[{"iso_3166_1": "CA", "name": "Canada"}]	47	1.0%
[{"iso_3166_1": "AU", "name": "Australia"}, {"iso_3166_1": "US", "name": "United States of America"}]	46	1.0%
[{"iso_3166_1": "FR", "name": "France"}, {"iso_3166_1": "US", "name": "United States of America"}]	38	0.8%
Other values (459)	956	19.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
iso_3166_1	6443	16.7%
name	6443	16.7%
united	4610	11.9%
of	3959	10.2%
america	3959	10.2%
us	3959	10.2%
states	3959	10.2%
gb	637	1.6%
kingdom	637	1.6%
de	324	0.8%
Other values (180)	3706	9.6%

Most occurring characters

Value	Count	Frequency (%)
"	51544	15.3%
	33827	10.1%
e	20012	6.0%
a	16839	5.0%
i	16202	4.8%
n	13179	3.9%
_	12886	3.8%
1	12886	3.8%
6	12886	3.8%
:	12886	3.8%
Other values (51)	133037	39.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	134013	39.9%
Other Punctuation	72681	21.6%
Space Separator	33827	10.1%
Decimal Number	32215	9.6%
Uppercase Letter	28058	8.3%
Connector Punctuation	12886	3.8%
Open Punctuation	11252	3.3%
Close Punctuation	11252	3.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20012	14.9%
a	16839	12.6%
i	16202	12.1%
n	13179	9.8%
t	12830	9.6%
m	11459	8.6%
o	11307	8.4%
s	10611	7.9%
d	5715	4.3%
r	4968	3.7%
Other values (15)	10891	8.1%

Uppercase Letter

Value	Count	Frequency (%)
U	8724	31.1%
S	8182	29.2%
A	4554	16.2%
G	980	3.5%
K	805	2.9%
B	736	2.6%
C	725	2.6%
F	625	2.2%
E	511	1.8%
R	444	1.6%
Other values (14)	1772	6.3%

Other Punctuation

Value	Count	Frequency (%)
"	51544	70.9%
:	12886	17.7%
,	8251	11.4%

Decimal Number

Value	Count	Frequency (%)
1	12886	40.0%
6	12886	40.0%
3	6443	20.0%

Open Punctuation

Value	Count	Frequency (%)
{	6443	57.3%
[	4809	42.7%

Close Punctuation

Value	Count	Frequency (%)
}	6443	57.3%
]	4809	42.7%

Space Separator

Value	Count	Frequency (%)
	33827	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	12886	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	174113	51.8%
Latin	162071	48.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20012	12.3%
a	16839	10.4%
i	16202	10.0%
n	13179	8.1%
t	12830	7.9%
m	11459	7.1%
o	11307	7.0%
s	10611	6.5%
U	8724	5.4%
S	8182	5.0%
Other values (39)	32726	20.2%

Common

Value	Count	Frequency (%)
"	51544	29.6%
	33827	19.4%
_	12886	7.4%
1	12886	7.4%
6	12886	7.4%
:	12886	7.4%
,	8251	4.7%
{	6443	3.7%
3	6443	3.7%
}	6443	3.7%
Other values (2)	9618	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	336184	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	51544	15.3%
	33827	10.1%
e	20012	6.0%
a	16839	5.0%
i	16202	4.8%
n	13179	3.9%
_	12886	3.8%
1	12886	3.8%
6	12886	3.8%
:	12886	3.8%
Other values (51)	133037	39.6%

release_date
Categorical

HIGH CARDINALITY UNIFORM

Distinct	3280
Distinct (%)	68.2%
Missing	1
Missing (%)	< 0.1%
Memory size	75.1 KiB

2006-01-01	10
2002-01-01	8
2013-07-18	7
2004-09-03	7
1999-10-22	7
Other values (3275)	4769

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	48080
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2259 ?
Unique (%)	47.0%

Sample

1st row	2009-12-10
2nd row	2007-05-19
3rd row	2015-10-26
4th row	2012-07-16
5th row	2012-03-07

Common Values

Value	Count	Frequency (%)
2006-01-01	10	0.2%
2002-01-01	8	0.2%
2013-07-18	7	0.1%
2004-09-03	7	0.1%
1999-10-22	7	0.1%
2014-12-25	7	0.1%
2011-09-16	6	0.1%
2007-01-01	6	0.1%
2011-09-30	6	0.1%
2003-01-01	6	0.1%
Other values (3270)	4738	98.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2006-01-01	10	0.2%
2002-01-01	8	0.2%
2013-07-18	7	0.1%
2004-09-03	7	0.1%
1999-10-22	7	0.1%
2014-12-25	7	0.1%
2003-01-01	6	0.1%
2015-10-16	6	0.1%
2005-01-01	6	0.1%
2005-09-16	6	0.1%
Other values (3270)	4738	98.5%

Most occurring characters

Value	Count	Frequency (%)
0	11940	24.8%
-	9616	20.0%
1	7620	15.8%
2	6741	14.0%
9	3587	7.5%
3	1536	3.2%
8	1523	3.2%
5	1451	3.0%
6	1416	2.9%
4	1333	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38464	80.0%
Dash Punctuation	9616	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11940	31.0%
1	7620	19.8%
2	6741	17.5%
9	3587	9.3%
3	1536	4.0%
8	1523	4.0%
5	1451	3.8%
6	1416	3.7%
4	1333	3.5%
7	1317	3.4%

Dash Punctuation

Value	Count	Frequency (%)
-	9616	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	48080	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11940	24.8%
-	9616	20.0%
1	7620	15.8%
2	6741	14.0%
9	3587	7.5%
3	1536	3.2%
8	1523	3.2%
5	1451	3.0%
6	1416	2.9%
4	1333	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48080	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11940	24.8%
-	9616	20.0%
1	7620	15.8%
2	6741	14.0%
9	3587	7.5%
3	1536	3.2%
8	1523	3.2%
5	1451	3.0%
6	1416	2.9%
4	1333	2.8%

revenue
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	3297
Distinct (%)	68.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	82275112

Minimum	0
Maximum	2.7879651 × 10⁹
Zeros	1430
Zeros (%)	29.7%
Negative	0
Negative (%)	0.0%
Memory size	75.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	19170001
Q3	92913171
95-th percentile	3.6966294 × 10⁸
Maximum	2.7879651 × 10⁹
Range	2.7879651 × 10⁹
Interquartile range (IQR)	92913171

Descriptive statistics

Standard deviation	1.6283785 × 10⁸
Coefficient of variation (CV)	1.9791873
Kurtosis	33.097489
Mean	82275112
Median Absolute Deviation (MAD)	19170001
Skewness	4.4421116
Sum	3.9566101 × 10¹¹
Variance	2.6516167 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1430	29.7%
7000000	6	0.1%
8000000	6	0.1%
12000000	5	0.1%
6000000	5	0.1%
100000000	5	0.1%
10000000	5	0.1%
25000000	4	0.1%
5000000	4	0.1%
11000000	4	0.1%
Other values (3287)	3335	69.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1430	29.7%
5	1	< 0.1%
7	2	< 0.1%
10	1	< 0.1%
11	2	< 0.1%
12	2	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
15	1	< 0.1%
16	1	< 0.1%

Value	Count	Frequency (%)
2787965087	1	< 0.1%
1845034188	1	< 0.1%
1519557910	1	< 0.1%
1513528810	1	< 0.1%
1506249360	1	< 0.1%
1405403694	1	< 0.1%
1274219009	1	< 0.1%
1215439994	1	< 0.1%
1156730962	1	< 0.1%
1153304495	1	< 0.1%

runtime
Real number (ℝ)

Distinct	156
Distinct (%)	3.2%
Missing	2
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	106.88226

Minimum	0
Maximum	338
Zeros	35
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	75.1 KiB

Quantile statistics

Minimum	0
5-th percentile	83
Q1	94
median	103
Q3	118
95-th percentile	144
Maximum	338
Range	338
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	22.602535
Coefficient of variation (CV)	0.21147136
Kurtosis	8.939795
Mean	106.88226
Median Absolute Deviation (MAD)	11
Skewness	0.71533137
Sum	513783
Variance	510.87461
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	163	3.4%
100	149	3.1%
98	140	2.9%
97	133	2.8%
95	123	2.6%
99	119	2.5%
94	117	2.4%
96	115	2.4%
101	114	2.4%
93	113	2.3%
Other values (146)	3521	73.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35	0.7%
14	1	< 0.1%
25	1	< 0.1%
41	1	< 0.1%
42	1	< 0.1%
46	1	< 0.1%
47	1	< 0.1%
53	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%

Value	Count	Frequency (%)
338	1	< 0.1%
276	1	< 0.1%
254	1	< 0.1%
248	1	< 0.1%
242	1	< 0.1%
240	1	< 0.1%
238	1	< 0.1%
229	1	< 0.1%
225	1	< 0.1%
219	1	< 0.1%

spoken_languages
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	544
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

[{"iso_639_1": "en", "name": "English"}]	3175
[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "es", "name": "Espa\u00f1ol"}]	127
[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "fr", "name": "Fran\u00e7ais"}]	115
[]	86
[{"iso_639_1": "es", "name": "Espa\u00f1ol"}, {"iso_639_1": "en", "name": "English"}]	54
Other values (539)	1252

Length

Max length	474
Median length	40
Mean length	62.910584
Min length	2

Characters and Unicode

Total characters	302537
Distinct characters	68
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	416 ?
Unique (%)	8.7%

Sample

1st row	[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "es", "name": "Espa\u00f1ol"}]
2nd row	[{"iso_639_1": "en", "name": "English"}]
3rd row	[{"iso_639_1": "fr", "name": "Fran\u00e7ais"}, {"iso_639_1": "en", "name": "English"}, {"iso_639_1": "es", "name": "Espa\u00f1ol"}, {"iso_639_1": "it", "name": "Italiano"}, {"iso_639_1": "de", "name": "Deutsch"}]
4th row	[{"iso_639_1": "en", "name": "English"}]
5th row	[{"iso_639_1": "en", "name": "English"}]

Common Values

Value	Count	Frequency (%)
[{"iso_639_1": "en", "name": "English"}]	3175	66.0%
[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "es", "name": "Espa\u00f1ol"}]	127	2.6%
[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "fr", "name": "Fran\u00e7ais"}]	115	2.4%
[]	86	1.8%
[{"iso_639_1": "es", "name": "Espa\u00f1ol"}, {"iso_639_1": "en", "name": "English"}]	54	1.1%
[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "de", "name": "Deutsch"}]	53	1.1%
[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "it", "name": "Italiano"}]	51	1.1%
[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "ru", "name": "P\u0443\u0441\u0441\u043a\u0438\u0439"}]	50	1.0%
[{"iso_639_1": "fr", "name": "Fran\u00e7ais"}]	49	1.0%
[{"iso_639_1": "fr", "name": "Fran\u00e7ais"}, {"iso_639_1": "en", "name": "English"}]	23	0.5%
Other values (534)	1026	21.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
iso_639_1	6944	24.8%
name	6944	24.8%
english	4490	16.0%
en	4490	16.0%
fr	438	1.6%
fran\u00e7ais	438	1.6%
es	351	1.3%
espa\u00f1ol	351	1.3%
deutsch	262	0.9%
de	262	0.9%
Other values (144)	3012	10.8%

Most occurring characters

Value	Count	Frequency (%)
"	55552	18.4%
	23173	7.7%
n	16786	5.5%
e	14005	4.6%
:	13888	4.6%
_	13888	4.6%
s	13234	4.4%
i	12550	4.1%
a	9810	3.2%
,	9165	3.0%
Other values (58)	120486	39.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	108560	35.9%
Other Punctuation	83731	27.7%
Decimal Number	43389	14.3%
Space Separator	23173	7.7%
Connector Punctuation	13888	4.6%
Close Punctuation	11753	3.9%
Open Punctuation	11753	3.9%
Uppercase Letter	6290	2.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	16786	15.5%
e	14005	12.9%
s	13234	12.2%
i	12550	11.6%
a	9810	9.0%
o	7720	7.1%
m	6976	6.4%
u	5708	5.3%
l	5264	4.8%
h	5052	4.7%
Other values (16)	11455	10.6%

Uppercase Letter

Value	Count	Frequency (%)
E	4845	77.0%
F	438	7.0%
P	306	4.9%
D	276	4.4%
I	188	3.0%
L	54	0.9%
M	42	0.7%
T	35	0.6%
N	25	0.4%
V	17	0.3%
Other values (10)	64	1.0%

Decimal Number

Value	Count	Frequency (%)
3	8374	19.3%
1	8150	18.8%
6	8138	18.8%
9	7948	18.3%
0	5281	12.2%
4	2369	5.5%
7	874	2.0%
5	779	1.8%
2	777	1.8%
8	699	1.6%

Other Punctuation

Value	Count	Frequency (%)
"	55552	66.3%
:	13888	16.6%
,	9165	10.9%
\	5040	6.0%
/	80	0.1%
?	6	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
}	6944	59.1%
]	4809	40.9%

Open Punctuation

Value	Count	Frequency (%)
{	6944	59.1%
[	4809	40.9%

Space Separator

Value	Count	Frequency (%)
	23173	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	13888	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	187687	62.0%
Latin	114850	38.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	16786	14.6%
e	14005	12.2%
s	13234	11.5%
i	12550	10.9%
a	9810	8.5%
o	7720	6.7%
m	6976	6.1%
u	5708	5.0%
l	5264	4.6%
h	5052	4.4%
Other values (36)	17745	15.5%

Common

Value	Count	Frequency (%)
"	55552	29.6%
	23173	12.3%
:	13888	7.4%
_	13888	7.4%
,	9165	4.9%
3	8374	4.5%
1	8150	4.3%
6	8138	4.3%
9	7948	4.2%
}	6944	3.7%
Other values (12)	32467	17.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	302537	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	55552	18.4%
	23173	7.7%
n	16786	5.5%
e	14005	4.6%
:	13888	4.6%
_	13888	4.6%
s	13234	4.4%
i	12550	4.1%
a	9810	3.2%
,	9165	3.0%
Other values (58)	120486	39.8%

status
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

Released	4801
Rumored	5
Post Production	3

Length

Max length	15
Median length	8
Mean length	8.0033271
Min length	7

Characters and Unicode

Total characters	38488
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Released
2nd row	Released
3rd row	Released
4th row	Released
5th row	Released

Common Values

Value	Count	Frequency (%)
Released	4801	99.8%
Rumored	5	0.1%
Post Production	3	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
released	4801	99.8%
rumored	5	0.1%
post	3	0.1%
production	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	14408	37.4%
d	4809	12.5%
R	4806	12.5%
s	4804	12.5%
l	4801	12.5%
a	4801	12.5%
o	14	< 0.1%
u	8	< 0.1%
r	8	< 0.1%
P	6	< 0.1%
Other values (6)	23	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	33673	87.5%
Uppercase Letter	4812	12.5%
Space Separator	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14408	42.8%
d	4809	14.3%
s	4804	14.3%
l	4801	14.3%
a	4801	14.3%
o	14	< 0.1%
u	8	< 0.1%
r	8	< 0.1%
t	6	< 0.1%
m	5	< 0.1%
Other values (3)	9	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
R	4806	99.9%
P	6	0.1%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38485	> 99.9%
Common	3	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14408	37.4%
d	4809	12.5%
R	4806	12.5%
s	4804	12.5%
l	4801	12.5%
a	4801	12.5%
o	14	< 0.1%
u	8	< 0.1%
r	8	< 0.1%
P	6	< 0.1%
Other values (5)	20	0.1%

Common

Value	Count	Frequency (%)
	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	14408	37.4%
d	4809	12.5%
R	4806	12.5%
s	4804	12.5%
l	4801	12.5%
a	4801	12.5%
o	14	< 0.1%
u	8	< 0.1%
r	8	< 0.1%
P	6	< 0.1%
Other values (6)	23	0.1%

tagline
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	3944
Distinct (%)	99.5%
Missing	844
Missing (%)	17.6%
Memory size	75.1 KiB

Based on a true story.	3
Have you ever danced with the devil in the pale moonlight?	2
The only way out is down.	2
What could go wrong?	2
Monsters are real.	2
Other values (3939)	3954

Length

Max length	252
Median length	149
Mean length	41.982093
Min length	3

Characters and Unicode

Total characters	166459
Distinct characters	92
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3924 ?
Unique (%)	99.0%

Sample

1st row	Enter the World of Pandora.
2nd row	At the end of the world, the adventure begins.
3rd row	A Plan No One Escapes
4th row	The Legend Ends
5th row	Lost in our world, found in another.

Common Values

Value	Count	Frequency (%)
Based on a true story.	3	0.1%
Have you ever danced with the devil in the pale moonlight?	2	< 0.1%
The only way out is down.	2	< 0.1%
What could go wrong?	2	< 0.1%
Monsters are real.	2	< 0.1%
You will be one of us	2	< 0.1%
You never forget your first love.	2	< 0.1%
Based on the incredible true story.	2	< 0.1%
Who's next?	2	< 0.1%
Worlds Collide	2	< 0.1%
Other values (3934)	3944	82.0%
(Missing)	844	17.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1884	6.1%
a	1088	3.5%
to	705	2.3%
is	653	2.1%
of	623	2.0%
you	537	1.7%
in	445	1.4%
and	328	1.1%
for	323	1.0%
it	310	1.0%
Other values (4349)	24012	77.7%

Most occurring characters

Value	Count	Frequency (%)
	26966	16.2%
e	17474	10.5%
o	10477	6.3%
t	10369	6.2%
a	8776	5.3%
n	8414	5.1%
i	8148	4.9%
r	7948	4.8%
s	7658	4.6%
h	6594	4.0%
Other values (82)	53635	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	121485	73.0%
Space Separator	26966	16.2%
Uppercase Letter	9717	5.8%
Other Punctuation	7566	4.5%
Decimal Number	521	0.3%
Dash Punctuation	151	0.1%
Final Punctuation	28	< 0.1%
Open Punctuation	8	< 0.1%
Close Punctuation	8	< 0.1%
Other Letter	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	17474	14.4%
o	10477	8.6%
t	10369	8.5%
a	8776	7.2%
n	8414	6.9%
i	8148	6.7%
r	7948	6.5%
s	7658	6.3%
h	6594	5.4%
l	5141	4.2%
Other values (18)	30486	25.1%

Uppercase Letter

Value	Count	Frequency (%)
T	1493	15.4%
A	830	8.5%
S	708	7.3%
I	600	6.2%
W	592	6.1%
H	588	6.1%
B	480	4.9%
N	430	4.4%
F	419	4.3%
E	413	4.3%
Other values (16)	3164	32.6%

Other Punctuation

Value	Count	Frequency (%)
.	5148	68.0%
'	1040	13.7%
,	725	9.6%
!	356	4.7%
?	221	2.9%
"	20	0.3%
:	14	0.2%
…	10	0.1%
&	9	0.1%
%	9	0.1%
Other values (4)	14	0.2%

Decimal Number

Value	Count	Frequency (%)
0	162	31.1%
1	99	19.0%
2	55	10.6%
9	38	7.3%
3	37	7.1%
7	28	5.4%
5	27	5.2%
4	26	5.0%
6	25	4.8%
8	24	4.6%

Other Letter

Value	Count	Frequency (%)
舞	1	20.0%
者	1	20.0%
的	1	20.0%
后	1	20.0%
最	1	20.0%

Dash Punctuation

Value	Count	Frequency (%)
-	150	99.3%
–	1	0.7%

Open Punctuation

Value	Count	Frequency (%)
(	7	87.5%
[	1	12.5%

Close Punctuation

Value	Count	Frequency (%)
)	7	87.5%
]	1	12.5%

Space Separator

Value	Count	Frequency (%)
	26966	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	28	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	131202	78.8%
Common	35252	21.2%
Han	5	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	17474	13.3%
o	10477	8.0%
t	10369	7.9%
a	8776	6.7%
n	8414	6.4%
i	8148	6.2%
r	7948	6.1%
s	7658	5.8%
h	6594	5.0%
l	5141	3.9%
Other values (44)	40203	30.6%

Common

Value	Count	Frequency (%)
	26966	76.5%
.	5148	14.6%
'	1040	3.0%
,	725	2.1%
!	356	1.0%
?	221	0.6%
0	162	0.5%
-	150	0.4%
1	99	0.3%
2	55	0.2%
Other values (23)	330	0.9%

Han

Value	Count	Frequency (%)
舞	1	20.0%
者	1	20.0%
的	1	20.0%
后	1	20.0%
最	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	166413	> 99.9%
Punctuation	39	< 0.1%
CJK	5	< 0.1%
None	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26966	16.2%
e	17474	10.5%
o	10477	6.3%
t	10369	6.2%
a	8776	5.3%
n	8414	5.1%
i	8148	4.9%
r	7948	4.8%
s	7658	4.6%
h	6594	4.0%
Other values (72)	53589	32.2%

Punctuation

Value	Count	Frequency (%)
’	28	71.8%
…	10	25.6%
–	1	2.6%

CJK

Value	Count	Frequency (%)
舞	1	20.0%
者	1	20.0%
的	1	20.0%
后	1	20.0%
最	1	20.0%

None

Value	Count	Frequency (%)
á	1	50.0%
é	1	50.0%

title
Categorical

HIGH CARDINALITY UNIFORM

Distinct	4800
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

The Host	4
Batman	4
Out of the Blue	4
Avatar	1
The Girl on the Train	1
Other values (4795)	4795

Length

Max length	86
Median length	58
Mean length	15.342067
Min length	1

Characters and Unicode

Total characters	73780
Distinct characters	98
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4797 ?
Unique (%)	99.8%

Sample

1st row	Avatar
2nd row	Pirates of the Caribbean: At World's End
3rd row	Spectre
4th row	The Dark Knight Rises
5th row	John Carter

Common Values

Value	Count	Frequency (%)
The Host	4	0.1%
Batman	4	0.1%
Out of the Blue	4	0.1%
Avatar	1	< 0.1%
The Girl on the Train	1	< 0.1%
Polisse	1	< 0.1%
Beneath Hill 60	1	< 0.1%
The I Inside	1	< 0.1%
Ultramarines: A Warhammer 40,000 Movie	1	< 0.1%
Crocodile Dundee	1	< 0.1%
Other values (4790)	4790	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1530	11.4%
of	476	3.6%
a	180	1.3%
and	139	1.0%
in	116	0.9%
to	107	0.8%
2	103	0.8%
	79	0.6%
man	66	0.5%
love	56	0.4%
Other values (4810)	10516	78.7%

Most occurring characters

Value	Count	Frequency (%)
	8561	11.6%
e	7531	10.2%
a	4636	6.3%
o	4474	6.1%
n	3952	5.4%
r	3946	5.3%
i	3765	5.1%
t	3668	5.0%
s	2864	3.9%
h	2856	3.9%
Other values (88)	27527	37.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	51947	70.4%
Uppercase Letter	11758	15.9%
Space Separator	8561	11.6%
Other Punctuation	909	1.2%
Decimal Number	494	0.7%
Dash Punctuation	82	0.1%
Open Punctuation	7	< 0.1%
Close Punctuation	7	< 0.1%
Currency Symbol	4	< 0.1%
Other Number	4	< 0.1%
Other values (4)	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	7531	14.5%
a	4636	8.9%
o	4474	8.6%
n	3952	7.6%
r	3946	7.6%
i	3765	7.2%
t	3668	7.1%
s	2864	5.5%
h	2856	5.5%
l	2419	4.7%
Other values (23)	11836	22.8%

Uppercase Letter

Value	Count	Frequency (%)
T	1670	14.2%
S	1007	8.6%
M	800	6.8%
B	760	6.5%
D	687	5.8%
C	663	5.6%
A	640	5.4%
H	543	4.6%
L	543	4.6%
W	500	4.3%
Other values (17)	3945	33.6%

Other Punctuation

Value	Count	Frequency (%)
:	351	38.6%
'	221	24.3%
.	141	15.5%
,	75	8.3%
&	61	6.7%
!	31	3.4%
?	17	1.9%
/	7	0.8%
*	2	0.2%
#	2	0.2%

Decimal Number

Value	Count	Frequency (%)
2	146	29.6%
1	79	16.0%
0	77	15.6%
3	72	14.6%
4	33	6.7%
5	21	4.3%
8	21	4.3%
9	16	3.2%
7	15	3.0%
6	14	2.8%

Other Number

Value	Count	Frequency (%)
½	1	25.0%
³	1	25.0%
²	1	25.0%
⅓	1	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	80	97.6%
–	2	2.4%

Open Punctuation

Value	Count	Frequency (%)
(	5	71.4%
[	2	28.6%

Close Punctuation

Value	Count	Frequency (%)
)	5	71.4%
]	2	28.6%

Currency Symbol

Value	Count	Frequency (%)
¢	2	50.0%
$	2	50.0%

Space Separator

Value	Count	Frequency (%)
	8561	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	3	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Other Symbol

Value	Count	Frequency (%)
°	1	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	63705	86.3%
Common	10075	13.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	7531	11.8%
a	4636	7.3%
o	4474	7.0%
n	3952	6.2%
r	3946	6.2%
i	3765	5.9%
t	3668	5.8%
s	2864	4.5%
h	2856	4.5%
l	2419	3.8%
Other values (50)	23594	37.0%

Common

Value	Count	Frequency (%)
	8561	85.0%
:	351	3.5%
'	221	2.2%
2	146	1.4%
.	141	1.4%
-	80	0.8%
1	79	0.8%
0	77	0.8%
,	75	0.7%
3	72	0.7%
Other values (28)	272	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	73754	> 99.9%
None	20	< 0.1%
Punctuation	5	< 0.1%
Number Forms	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8561	11.6%
e	7531	10.2%
a	4636	6.3%
o	4474	6.1%
n	3952	5.4%
r	3946	5.4%
i	3765	5.1%
t	3668	5.0%
s	2864	3.9%
h	2856	3.9%
Other values (71)	27501	37.3%

None

Value	Count	Frequency (%)
é	6	30.0%
¢	2	10.0%
Æ	1	5.0%
ë	1	5.0%
½	1	5.0%
à	1	5.0%
·	1	5.0%
ü	1	5.0%
³	1	5.0%
á	1	5.0%
Other values (4)	4	20.0%

Punctuation

Value	Count	Frequency (%)
’	3	60.0%
–	2	40.0%

Number Forms

Value	Count	Frequency (%)
⅓	1	100.0%

vote_average
Real number (ℝ)

Distinct	71
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.092514

Minimum	0
Maximum	10
Zeros	63
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	75.1 KiB

Quantile statistics

Minimum	0
5-th percentile	4.3
Q1	5.6
median	6.2
Q3	6.8
95-th percentile	7.6
Maximum	10
Range	10
Interquartile range (IQR)	1.2

Descriptive statistics

Standard deviation	1.1939889
Coefficient of variation (CV)	0.19597639
Kurtosis	7.8037436
Mean	6.092514
Median Absolute Deviation (MAD)	0.6
Skewness	-1.9610647
Sum	29298.9
Variance	1.4256095
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.5	217	4.5%
6	217	4.5%
6.7	214	4.4%
6.3	207	4.3%
6.1	202	4.2%
6.4	201	4.2%
6.2	200	4.2%
6.6	198	4.1%
5.9	197	4.1%
5.8	187	3.9%
Other values (61)	2769	57.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	63	1.3%
0.5	1	< 0.1%
1	2	< 0.1%
1.9	1	< 0.1%
2	6	0.1%
2.2	1	< 0.1%
2.3	2	< 0.1%
2.4	1	< 0.1%
2.6	1	< 0.1%
2.7	1	< 0.1%

Value	Count	Frequency (%)
10	4	0.1%
9.5	1	< 0.1%
9.3	1	< 0.1%
8.5	2	< 0.1%
8.4	2	< 0.1%
8.3	7	0.1%
8.2	15	0.3%
8.1	18	0.4%
8	35	0.7%
7.9	32	0.7%

vote_count
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	1609
Distinct (%)	33.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	690.33167

Minimum	0
Maximum	13752
Zeros	62
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	75.1 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	54
median	235
Q3	737
95-th percentile	3040.6
Maximum	13752
Range	13752
Interquartile range (IQR)	683

Descriptive statistics

Standard deviation	1234.1871
Coefficient of variation (CV)	1.7878176
Kurtosis	19.914038
Mean	690.33167
Median Absolute Deviation (MAD)	214
Skewness	3.8231066
Sum	3319805
Variance	1523217.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	62	1.3%
1	53	1.1%
2	46	1.0%
4	43	0.9%
3	41	0.9%
6	38	0.8%
8	37	0.8%
10	34	0.7%
11	32	0.7%
9	32	0.7%
Other values (1599)	4391	91.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	62	1.3%
1	53	1.1%
2	46	1.0%
3	41	0.9%
4	43	0.9%
5	28	0.6%
6	38	0.8%
7	31	0.6%
8	37	0.8%
9	32	0.7%

Value	Count	Frequency (%)
13752	1	< 0.1%
12002	1	< 0.1%
11800	1	< 0.1%
11776	1	< 0.1%
10995	1	< 0.1%
10867	1	< 0.1%
10099	1	< 0.1%
9742	1	< 0.1%
9455	1	< 0.1%
9427	1	< 0.1%

movie_id
Real number (ℝ)

Distinct	4803
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	57120.571

Minimum	5
Maximum	459488
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	75.1 KiB

Quantile statistics

Minimum	5
5-th percentile	577.4
Q1	9012
median	14624
Q3	58595
95-th percentile	285767
Maximum	459488
Range	459483
Interquartile range (IQR)	49583

Descriptive statistics

Standard deviation	88653.37
Coefficient of variation (CV)	1.5520393
Kurtosis	3.3549436
Mean	57120.571
Median Absolute Deviation (MAD)	12923
Skewness	2.073718
Sum	2.7469283 × 10⁸
Variance	7.85942 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10844	2	< 0.1%
1255	2	< 0.1%
72710	2	< 0.1%
268	2	< 0.1%
2661	2	< 0.1%
39269	2	< 0.1%
9671	1	< 0.1%
333355	1	< 0.1%
13483	1	< 0.1%
71157	1	< 0.1%
Other values (4793)	4793	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
16	1	< 0.1%
18	1	< 0.1%
19	1	< 0.1%
20	1	< 0.1%
22	1	< 0.1%

Value	Count	Frequency (%)
459488	1	< 0.1%
447027	1	< 0.1%
433715	1	< 0.1%
426469	1	< 0.1%
426067	1	< 0.1%
417859	1	< 0.1%
408429	1	< 0.1%
407887	1	< 0.1%
402515	1	< 0.1%
396152	1	< 0.1%

cast
Categorical

HIGH CARDINALITY UNIFORM

Distinct	4761
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

[]	43
[{"cast_id": 2, "character": "Don", "credit_id": "52fe47099251416c9106825d", "gender": 2, "id": 2778, "name": "Dennis Hopper", "order": 1}, {"cast_id": 3, "character": "Dr. Brean", "credit_id": "52fe47099251416c91068261", "gender": 2, "id": 7685, "name": "Raymond Burr", "order": 2}, {"cast_id": 4, "character": "Kathy", "credit_id": "52fe47099251416c91068265", "gender": 1, "id": 19434, "name": "Sharon Farrell", "order": 3}, {"cast_id": 5, "character": "Cebe", "credit_id": "52fe47099251416c91068269", "gender": 1, "id": 3011, "name": "Linda Manz", "order": 4}, {"cast_id": 26, "character": "Charlie", "credit_id": "5691f0a3c3a3684cfc000da9", "gender": 2, "id": 14062, "name": "Don Gordon", "order": 5}]	2
[{"cast_id": 12, "character": "Nick Harvey", "credit_id": "52fe43c19251416c7501ccf5", "gender": 2, "id": 1372, "name": "Karl Urban", "order": 0}, {"cast_id": 17, "character": "Julie-Anne Bryson", "credit_id": "52fe43c19251416c7501cd11", "gender": 1, "id": 33310, "name": "Tandi Wright", "order": 1}, {"cast_id": 18, "character": "Garry Holden", "credit_id": "52fe43c19251416c7501cd15", "gender": 0, "id": 67121, "name": "Simon Ferry", "order": 2}, {"cast_id": 19, "character": "David Gray", "credit_id": "52fe43c19251416c7501cd19", "gender": 2, "id": 67119, "name": "Matthew Sunderland", "order": 3}, {"cast_id": 20, "character": "Helen Dickson", "credit_id": "52fe43c19251416c7501cd1d", "gender": 1, "id": 67120, "name": "Lois Lawn", "order": 4}, {"cast_id": 22, "character": "Paul Knox", "credit_id": "52fe43c19251416c7501cd25", "gender": 0, "id": 67122, "name": "Paul Glover", "order": 5}, {"cast_id": 21, "character": "Stu Guthrie", "credit_id": "52fe43c19251416c7501cd21", "gender": 2, "id": 67123, "name": "William Kircher", "order": 6}, {"cast_id": 23, "character": "Chiquita Holden", "credit_id": "52fe43c19251416c7501cd29", "gender": 0, "id": 67124, "name": "Georgia Fabish", "order": 7}, {"cast_id": 24, "character": "Stacey Percy", "credit_id": "52fe43c19251416c7501cd2d", "gender": 0, "id": 67125, "name": "Fayth Rasmussen", "order": 8}, {"cast_id": 25, "character": "Jimmy Dickson", "credit_id": "52fe43c19251416c7501cd31", "gender": 0, "id": 67126, "name": "Timothy Bartlett", "order": 9}, {"cast_id": 26, "character": "Bank Manager", "credit_id": "52fe43c19251416c7501cd35", "gender": 0, "id": 67129, "name": "Murray Davidson", "order": 10}, {"cast_id": 27, "character": "Dion Percy", "credit_id": "52fe43c19251416c7501cd39", "gender": 0, "id": 67128, "name": "Baxter Cannell", "order": 11}, {"cast_id": 28, "character": "Ross Percy", "credit_id": "52fe43c19251416c7501cd3d", "gender": 0, "id": 67127, "name": "Tony Bishop", "order": 12}, {"cast_id": 29, "character": "AOS / ATS Officer", "credit_id": "52fe43c19251416c7501cd41", "gender": 0, "id": 67130, "name": "Dave Dudfield", "order": 13}, {"cast_id": 30, "character": "Garry Holden's Mother", "credit_id": "52fe43c19251416c7501cd45", "gender": 1, "id": 11336, "name": "Brenda Kendall", "order": 14}, {"cast_id": 31, "character": "Brian Wilson", "credit_id": "52fe43c19251416c7501cd49", "gender": 0, "id": 67131, "name": "Nick Duval-Smith", "order": 15}, {"cast_id": 32, "character": "Rene Aarsen", "credit_id": "52fe43c19251416c7501cd4d", "gender": 0, "id": 67134, "name": "Richard Knowles", "order": 16}, {"cast_id": 33, "character": "Leo Wilson", "credit_id": "52fe43c19251416c7501cd51", "gender": 0, "id": 67135, "name": "Thomas Lee-Batley", "order": 17}, {"cast_id": 34, "character": "Dorothy Crimp", "credit_id": "52fe43c19251416c7501cd55", "gender": 0, "id": 67132, "name": "Natalie Ellis", "order": 18}, {"cast_id": 35, "character": "Aleki Tali", "credit_id": "52fe43c19251416c7501cd59", "gender": 0, "id": 67133, "name": "Fatu Ioane", "order": 19}, {"cast_id": 37, "character": "Chris Cole", "credit_id": "5881e7b7c3a368144f00ac13", "gender": 0, "id": 29082, "name": "Bruce Phillips", "order": 20}, {"cast_id": 38, "character": "Darren Buist", "credit_id": "5881ea34925141303e00b006", "gender": 0, "id": 1086827, "name": "Ryan O'Kane", "order": 21}, {"cast_id": 39, "character": "Darren Gibbs", "credit_id": "5881ea5cc3a368146000b9cd", "gender": 2, "id": 212730, "name": "Michael Whalley", "order": 22}]	2
[{"cast_id": 52, "character": "Melanie Stryder / Wanda", "credit_id": "52fe487bc3a368484e0fa99d", "gender": 1, "id": 36592, "name": "Saoirse Ronan", "order": 0}, {"cast_id": 11, "character": "The Seeker / Lacey", "credit_id": "52fe487bc3a368484e0fa8eb", "gender": 1, "id": 9824, "name": "Diane Kruger", "order": 1}, {"cast_id": 12, "character": "Ian O'Shea", "credit_id": "52fe487bc3a368484e0fa8ef", "gender": 2, "id": 105727, "name": "Jake Abel", "order": 2}, {"cast_id": 13, "character": "Jeb Stryder", "credit_id": "52fe487bc3a368484e0fa8f3", "gender": 2, "id": 227, "name": "William Hurt", "order": 3}, {"cast_id": 14, "character": "Maggie Stryder", "credit_id": "52fe487bc3a368484e0fa8f7", "gender": 1, "id": 3713, "name": "Frances Fisher", "order": 4}, {"cast_id": 15, "character": "Jared Howe", "credit_id": "52fe487bc3a368484e0fa8fb", "gender": 2, "id": 232396, "name": "Max Irons", "order": 5}, {"cast_id": 16, "character": "Jamie Stryder", "credit_id": "52fe487bc3a368484e0fa8ff", "gender": 2, "id": 77334, "name": "Chandler Canterbury", "order": 6}, {"cast_id": 17, "character": "Kyle O'Shea", "credit_id": "52fe487bc3a368484e0fa903", "gender": 2, "id": 467645, "name": "Boyd Holbrook", "order": 7}, {"cast_id": 20, "character": "Seeker Reed", "credit_id": "52fe487bc3a368484e0fa913", "gender": 0, "id": 936403, "name": "Stephen Rider", "order": 8}, {"cast_id": 22, "character": "Wanda", "credit_id": "52fe487bc3a368484e0fa91d", "gender": 1, "id": 70456, "name": "Emily Browning", "order": 9}, {"cast_id": 27, "character": "Soul Fleur", "credit_id": "52fe487bc3a368484e0fa939", "gender": 1, "id": 35198, "name": "Rachel Roberts", "order": 10}, {"cast_id": 28, "character": "Soul Anshu", "credit_id": "52fe487bc3a368484e0fa93d", "gender": 0, "id": 1273231, "name": "Shyaam Karra", "order": 11}, {"cast_id": 29, "character": "Soul Winters", "credit_id": "52fe487bc3a368484e0fa941", "gender": 0, "id": 1273232, "name": "Brent Wendell Williams", "order": 12}, {"cast_id": 30, "character": "Soul Lake", "credit_id": "52fe487bc3a368484e0fa945", "gender": 0, "id": 1273233, "name": "Jhil McEntyre", "order": 13}, {"cast_id": 31, "character": "Soul Nafisa", "credit_id": "52fe487bc3a368484e0fa949", "gender": 0, "id": 1273234, "name": "Jalen Coleman", "order": 14}, {"cast_id": 32, "character": "Seeker Song", "credit_id": "52fe487bc3a368484e0fa94d", "gender": 0, "id": 1181296, "name": "Jaylen Moore", "order": 15}, {"cast_id": 33, "character": "Seeker Sands", "credit_id": "52fe487bc3a368484e0fa951", "gender": 0, "id": 1273235, "name": "Stephen Conroy", "order": 16}, {"cast_id": 34, "character": "Seeker Wolfe", "credit_id": "52fe487bc3a368484e0fa955", "gender": 0, "id": 1273236, "name": "Michael L. Parker", "order": 17}, {"cast_id": 35, "character": "Seeker Waverley", "credit_id": "52fe487bc3a368484e0fa959", "gender": 0, "id": 92058, "name": "Phil Austin", "order": 18}, {"cast_id": 36, "character": "Healer Fords", "credit_id": "52fe487bc3a368484e0fa95d", "gender": 2, "id": 16460, "name": "Marcus Lyle Brown", "order": 19}, {"cast_id": 37, "character": "Trevor Stryder", "credit_id": "52fe487bc3a368484e0fa961", "gender": 2, "id": 129868, "name": "J.D. Evermore", "order": 20}, {"cast_id": 38, "character": "Soul Raines", "credit_id": "52fe487bc3a368484e0fa965", "gender": 0, "id": 1273237, "name": "John Wilmot", "order": 21}, {"cast_id": 39, "character": "Seeker Pavo", "credit_id": "52fe487bc3a368484e0fa969", "gender": 0, "id": 1273238, "name": "Evan Cleaver", "order": 22}, {"cast_id": 40, "character": "Brandt", "credit_id": "52fe487bc3a368484e0fa96d", "gender": 0, "id": 1273239, "name": "Mustafa Harris", "order": 23}, {"cast_id": 41, "character": "Doc", "credit_id": "52fe487bc3a368484e0fa971", "gender": 2, "id": 42317, "name": "Scott Lawrence", "order": 24}, {"cast_id": 42, "character": "Wes", "credit_id": "52fe487bc3a368484e0fa975", "gender": 0, "id": 176491, "name": "Shawn Carter Peterson", "order": 25}, {"cast_id": 43, "character": "Lily", "credit_id": "52fe487bc3a368484e0fa979", "gender": 0, "id": 1123886, "name": "Raeden Greer", "order": 26}, {"cast_id": 44, "character": "Seeker Hawke", "credit_id": "52fe487bc3a368484e0fa97d", "gender": 0, "id": 1112417, "name": "Tatanka Means", "order": 27}, {"cast_id": 46, "character": "Seeker Summers", "credit_id": "52fe487bc3a368484e0fa985", "gender": 0, "id": 79211, "name": "David House", "order": 29}, {"cast_id": 47, "character": "Soul Pearle", "credit_id": "52fe487bc3a368484e0fa989", "gender": 0, "id": 1273240, "name": "Ruby Lou Smith", "order": 30}, {"cast_id": 48, "character": "Healer Skye", "credit_id": "52fe487bc3a368484e0fa98d", "gender": 1, "id": 946356, "name": "Andrea Frankle", "order": 31}, {"cast_id": 49, "character": "Seeker Nova", "credit_id": "52fe487bc3a368484e0fa991", "gender": 0, "id": 1049735, "name": "Yohance Myles", "order": 32}, {"cast_id": 50, "character": "Seeker Burns", "credit_id": "52fe487bc3a368484e0fa995", "gender": 2, "id": 558466, "name": "Alex Russell", "order": 33}, {"cast_id": 51, "character": "Nate", "credit_id": "52fe487bc3a368484e0fa999", "gender": 2, "id": 71913, "name": "Bokeem Woodbine", "order": 34}, {"cast_id": 56, "character": "Seeker Dawn", "credit_id": "56a12cdcc3a36858e500fde3", "gender": 0, "id": 1369033, "name": "Stacey Carino", "order": 35}, {"cast_id": 57, "character": "Seeker Zephyr", "credit_id": "56a12dc0c3a3683413005c66", "gender": 0, "id": 1566669, "name": "Erik Schultz", "order": 36}]	2
[{"cast_id": 3, "character": "Park Gang-du", "credit_id": "52fe42eac3a36847f802ca31", "gender": 2, "id": 20738, "name": "Song Kang-ho", "order": 0}, {"cast_id": 5, "character": "Park Nam-il", "credit_id": "52fe42eac3a36847f802ca39", "gender": 2, "id": 21687, "name": "Park Hae-il", "order": 2}, {"cast_id": 6, "character": "Park Nam-joo", "credit_id": "52fe42eac3a36847f802ca3d", "gender": 1, "id": 21688, "name": "Bae Doona", "order": 3}, {"cast_id": 7, "character": "Park Hyun-seo", "credit_id": "52fe42eac3a36847f802ca41", "gender": 0, "id": 21689, "name": "Ko Ah-sung", "order": 4}, {"cast_id": 15, "character": "Park Hie-bong", "credit_id": "56169cd49251410d80012453", "gender": 0, "id": 116180, "name": "Byun Hee-bong", "order": 5}, {"cast_id": 18, "character": "American Doctor", "credit_id": "5776a94592514174d2001e5d", "gender": 2, "id": 6914, "name": "Scott Wilson", "order": 6}, {"cast_id": 20, "character": "US Doctor trying to operate Gang-Du", "credit_id": "5956a8fbc3a3680d73061d61", "gender": 2, "id": 138988, "name": "Paul Lazar", "order": 7}]	2
Other values (4756)	4758

Length

Max length	35904
Median length	4481
Mean length	3371.2333
Min length	2

Characters and Unicode

Total characters	16212261
Distinct characters	89
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4754 ?
Unique (%)	98.9%

Sample

1st row	[{"cast_id": 242, "character": "Jake Sully", "credit_id": "5602a8a7c3a3685532001c9a", "gender": 2, "id": 65731, "name": "Sam Worthington", "order": 0}, {"cast_id": 3, "character": "Neytiri", "credit_id": "52fe48009251416c750ac9cb", "gender": 1, "id": 8691, "name": "Zoe Saldana", "order": 1}, {"cast_id": 25, "character": "Dr. Grace Augustine", "credit_id": "52fe48009251416c750aca39", "gender": 1, "id": 10205, "name": "Sigourney Weaver", "order": 2}, {"cast_id": 4, "character": "Col. Quaritch", "credit_id": "52fe48009251416c750ac9cf", "gender": 2, "id": 32747, "name": "Stephen Lang", "order": 3}, {"cast_id": 5, "character": "Trudy Chacon", "credit_id": "52fe48009251416c750ac9d3", "gender": 1, "id": 17647, "name": "Michelle Rodriguez", "order": 4}, {"cast_id": 8, "character": "Selfridge", "credit_id": "52fe48009251416c750ac9e1", "gender": 2, "id": 1771, "name": "Giovanni Ribisi", "order": 5}, {"cast_id": 7, "character": "Norm Spellman", "credit_id": "52fe48009251416c750ac9dd", "gender": 2, "id": 59231, "name": "Joel David Moore", "order": 6}, {"cast_id": 9, "character": "Moat", "credit_id": "52fe48009251416c750ac9e5", "gender": 1, "id": 30485, "name": "CCH Pounder", "order": 7}, {"cast_id": 11, "character": "Eytukan", "credit_id": "52fe48009251416c750ac9ed", "gender": 2, "id": 15853, "name": "Wes Studi", "order": 8}, {"cast_id": 10, "character": "Tsu'Tey", "credit_id": "52fe48009251416c750ac9e9", "gender": 2, "id": 10964, "name": "Laz Alonso", "order": 9}, {"cast_id": 12, "character": "Dr. Max Patel", "credit_id": "52fe48009251416c750ac9f1", "gender": 2, "id": 95697, "name": "Dileep Rao", "order": 10}, {"cast_id": 13, "character": "Lyle Wainfleet", "credit_id": "52fe48009251416c750ac9f5", "gender": 2, "id": 98215, "name": "Matt Gerald", "order": 11}, {"cast_id": 32, "character": "Private Fike", "credit_id": "52fe48009251416c750aca5b", "gender": 2, "id": 154153, "name": "Sean Anthony Moran", "order": 12}, {"cast_id": 33, "character": "Cryo Vault Med Tech", "credit_id": "52fe48009251416c750aca5f", "gender": 2, "id": 397312, "name": "Jason Whyte", "order": 13}, {"cast_id": 34, "character": "Venture Star Crew Chief", "credit_id": "52fe48009251416c750aca63", "gender": 2, "id": 42317, "name": "Scott Lawrence", "order": 14}, {"cast_id": 35, "character": "Lock Up Trooper", "credit_id": "52fe48009251416c750aca67", "gender": 2, "id": 986734, "name": "Kelly Kilgour", "order": 15}, {"cast_id": 36, "character": "Shuttle Pilot", "credit_id": "52fe48009251416c750aca6b", "gender": 0, "id": 1207227, "name": "James Patrick Pitt", "order": 16}, {"cast_id": 37, "character": "Shuttle Co-Pilot", "credit_id": "52fe48009251416c750aca6f", "gender": 0, "id": 1180936, "name": "Sean Patrick Murphy", "order": 17}, {"cast_id": 38, "character": "Shuttle Crew Chief", "credit_id": "52fe48009251416c750aca73", "gender": 2, "id": 1019578, "name": "Peter Dillon", "order": 18}, {"cast_id": 39, "character": "Tractor Operator / Troupe", "credit_id": "52fe48009251416c750aca77", "gender": 0, "id": 91443, "name": "Kevin Dorman", "order": 19}, {"cast_id": 40, "character": "Dragon Gunship Pilot", "credit_id": "52fe48009251416c750aca7b", "gender": 2, "id": 173391, "name": "Kelson Henderson", "order": 20}, {"cast_id": 41, "character": "Dragon Gunship Gunner", "credit_id": "52fe48009251416c750aca7f", "gender": 0, "id": 1207236, "name": "David Van Horn", "order": 21}, {"cast_id": 42, "character": "Dragon Gunship Navigator", "credit_id": "52fe48009251416c750aca83", "gender": 0, "id": 215913, "name": "Jacob Tomuri", "order": 22}, {"cast_id": 43, "character": "Suit #1", "credit_id": "52fe48009251416c750aca87", "gender": 0, "id": 143206, "name": "Michael Blain-Rozgay", "order": 23}, {"cast_id": 44, "character": "Suit #2", "credit_id": "52fe48009251416c750aca8b", "gender": 2, "id": 169676, "name": "Jon Curry", "order": 24}, {"cast_id": 46, "character": "Ambient Room Tech", "credit_id": "52fe48009251416c750aca8f", "gender": 0, "id": 1048610, "name": "Luke Hawker", "order": 25}, {"cast_id": 47, "character": "Ambient Room Tech / Troupe", "credit_id": "52fe48009251416c750aca93", "gender": 0, "id": 42288, "name": "Woody Schultz", "order": 26}, {"cast_id": 48, "character": "Horse Clan Leader", "credit_id": "52fe48009251416c750aca97", "gender": 2, "id": 68278, "name": "Peter Mensah", "order": 27}, {"cast_id": 49, "character": "Link Room Tech", "credit_id": "52fe48009251416c750aca9b", "gender": 0, "id": 1207247, "name": "Sonia Yee", "order": 28}, {"cast_id": 50, "character": "Basketball Avatar / Troupe", "credit_id": "52fe48009251416c750aca9f", "gender": 1, "id": 1207248, "name": "Jahnel Curfman", "order": 29}, {"cast_id": 51, "character": "Basketball Avatar", "credit_id": "52fe48009251416c750acaa3", "gender": 0, "id": 89714, "name": "Ilram Choi", "order": 30}, {"cast_id": 52, "character": "Na'vi Child", "credit_id": "52fe48009251416c750acaa7", "gender": 0, "id": 1207249, "name": "Kyla Warren", "order": 31}, {"cast_id": 53, "character": "Troupe", "credit_id": "52fe48009251416c750acaab", "gender": 0, "id": 1207250, "name": "Lisa Roumain", "order": 32}, {"cast_id": 54, "character": "Troupe", "credit_id": "52fe48009251416c750acaaf", "gender": 1, "id": 83105, "name": "Debra Wilson", "order": 33}, {"cast_id": 57, "character": "Troupe", "credit_id": "52fe48009251416c750acabb", "gender": 0, "id": 1207253, "name": "Chris Mala", "order": 34}, {"cast_id": 55, "character": "Troupe", "credit_id": 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2nd row	[{"cast_id": 4, "character": "Captain Jack Sparrow", "credit_id": "52fe4232c3a36847f800b50d", "gender": 2, "id": 85, "name": "Johnny Depp", "order": 0}, {"cast_id": 5, "character": "Will Turner", "credit_id": "52fe4232c3a36847f800b511", "gender": 2, "id": 114, "name": "Orlando Bloom", "order": 1}, {"cast_id": 6, "character": "Elizabeth Swann", "credit_id": "52fe4232c3a36847f800b515", "gender": 1, "id": 116, "name": "Keira Knightley", "order": 2}, {"cast_id": 12, "character": "William \"Bootstrap Bill\" Turner", "credit_id": "52fe4232c3a36847f800b52d", "gender": 2, "id": 1640, "name": "Stellan Skarsg\u00e5rd", "order": 3}, {"cast_id": 10, "character": "Captain Sao Feng", "credit_id": "52fe4232c3a36847f800b525", "gender": 2, "id": 1619, "name": "Chow Yun-fat", "order": 4}, {"cast_id": 9, "character": "Captain Davy Jones", "credit_id": "52fe4232c3a36847f800b521", "gender": 2, "id": 2440, "name": "Bill Nighy", "order": 5}, {"cast_id": 7, "character": "Captain Hector Barbossa", "credit_id": "52fe4232c3a36847f800b519", "gender": 2, "id": 118, "name": "Geoffrey Rush", "order": 6}, {"cast_id": 14, "character": "Admiral James Norrington", "credit_id": "52fe4232c3a36847f800b535", "gender": 2, "id": 1709, "name": "Jack Davenport", "order": 7}, {"cast_id": 13, "character": "Joshamee Gibbs", "credit_id": "52fe4232c3a36847f800b531", "gender": 2, "id": 2449, "name": "Kevin McNally", "order": 8}, {"cast_id": 11, "character": "Lord Cutler Beckett", "credit_id": "52fe4232c3a36847f800b529", "gender": 2, "id": 2441, "name": "Tom Hollander", "order": 9}, {"cast_id": 19, "character": "Tia Dalma", "credit_id": "52fe4232c3a36847f800b549", "gender": 1, "id": 2038, "name": "Naomie Harris", "order": 10}, {"cast_id": 8, "character": "Governor Weatherby Swann", "credit_id": "52fe4232c3a36847f800b51d", "gender": 2, "id": 378, "name": "Jonathan Pryce", "order": 11}, {"cast_id": 37, "character": "Captain Teague Sparrow", "credit_id": "52fe4232c3a36847f800b5b3", "gender": 2, "id": 1430, "name": "Keith Richards", "order": 12}, {"cast_id": 16, "character": "Pintel", "credit_id": "52fe4232c3a36847f800b53d", "gender": 2, "id": 1710, "name": "Lee Arenberg", "order": 13}, {"cast_id": 15, "character": "Ragetti", "credit_id": "52fe4232c3a36847f800b539", "gender": 2, "id": 1711, "name": "Mackenzie Crook", "order": 14}, {"cast_id": 18, "character": "Lieutenant Theodore Groves", "credit_id": "52fe4232c3a36847f800b545", "gender": 2, "id": 4031, "name": "Greg Ellis", "order": 15}, {"cast_id": 55, "character": "Cotton", "credit_id": "57e28d2ec3a3681a01005b5c", "gender": 2, "id": 1715, "name": "David Bailie", "order": 16}, {"cast_id": 17, "character": "Marty", "credit_id": "52fe4232c3a36847f800b541", "gender": 2, "id": 4030, "name": "Martin Klebba", "order": 17}, {"cast_id": 57, "character": "Ian Mercer", "credit_id": "57e28d78c3a36808b900bf4f", "gender": 0, "id": 939, "name": "David Schofield", "order": 18}, {"cast_id": 62, "character": "Scarlett", "credit_id": "57e28ec5c3a3681a50005855", "gender": 1, "id": 2450, "name": "Lauren Maher", "order": 19}, {"cast_id": 63, "character": "Giselle", "credit_id": "57e28ed692514123f5005635", "gender": 1, "id": 2452, "name": "Vanessa Branch", "order": 20}, {"cast_id": 60, "character": "Mullroy", "credit_id": "57e28db2c3a3681a01005bc7", "gender": 2, "id": 1714, "name": "Angus Barnett", "order": 21}, {"cast_id": 59, "character": "Murtogg", "credit_id": "57e28da192514118f7006008", "gender": 0, "id": 1713, "name": "Giles New", "order": 22}, {"cast_id": 58, "character": "Tai Huang", "credit_id": "57e28d8ec3a3681a01005bab", "gender": 2, "id": 22075, "name": "Reggie Lee", "order": 23}, {"cast_id": 64, "character": "Henry Turner", "credit_id": "57e29119925141151100a6cc", "gender": 2, "id": 61259, "name": "Dominic Scott Kay", "order": 24}, {"cast_id": 39, "character": "Mistress Ching", "credit_id": "52fe4232c3a36847f800b5bd", "gender": 1, "id": 33500, "name": "Takayo Fischer", "order": 25}, {"cast_id": 40, "character": "Lieutenant Greitzer", "credit_id": "52fe4232c3a36847f800b5c1", "gender": 2, "id": 1224149, "name": "David Meunier", "order": 26}, {"cast_id": 49, "character": "Hadras", "credit_id": "56d1871c92514174680010cf", "gender": 2, "id": 429401, "name": "Ho-Kwan Tse", "order": 27}, {"cast_id": 56, "character": "Clacker", "credit_id": "57e28d4b92514125710055cb", "gender": 0, "id": 1123, "name": "Andy Beckwith", "order": 28}, {"cast_id": 51, "character": "Penrod", "credit_id": "56ec8c14c3a3682260003c53", "gender": 2, "id": 1056117, "name": "Peter Donald Badalamenti II", "order": 29}, {"cast_id": 61, "character": "Cotton's Parrot (voice)", "credit_id": "57e28dcc9251412463005678", "gender": 2, "id": 21700, "name": "Christopher S. 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"5623d4f2c3a3680e1d00f29d", "gender": 2, "id": 26088, "name": "Christopher Judge", "order": 82}, {"cast_id": 230, "character": "Board Member #2", "credit_id": "5623d5329251416b3000153a", "gender": 2, "id": 853194, "name": "Patrick Leahy", "order": 83}, {"cast_id": 231, "character": "Uniform #2", "credit_id": "5623d57192514135b00028d6", "gender": 0, "id": 171606, "name": "Todd Gearhart", "order": 84}, {"cast_id": 232, "character": "Gotham City Police Officer (uncredited)", "credit_id": "5623d5d69251417f4700becf", "gender": 2, "id": 1406682, "name": "Marc Abbink", "order": 85}, {"cast_id": 233, "character": "Young Stock Broker (uncredited)", "credit_id": "56252c5a9251413980001f01", "gender": 0, "id": 1167718, "name": "Isiah Adams", "order": 86}, {"cast_id": 234, "character": "Gotham City Police Officer (uncredited)", "credit_id": "56252cb2c3a3680e1d013497", "gender": 1, "id": 572221, "name": "Charlie Alejandro", "order": 87}, {"cast_id": 235, "character": "Former Upscaler (uncredited)", "credit_id": "56252cf9c3a3680e1d01349c", "gender": 2, "id": 1116933, "name": "Robert Arensen", "order": 88}, {"cast_id": 236, "character": "Angry Mobster / Prisoner (uncredited)", "credit_id": "56252d43c3a3680e2001483e", "gender": 0, "id": 1524158, "name": "Grant Babbitt", "order": 89}, {"cast_id": 237, "character": "Gotham Rogues Fan (uncredited)", "credit_id": "56252d6e9251413980001f2a", "gender": 0, "id": 139188, "name": "Fileena Bahris", "order": 90}, {"cast_id": 238, "character": "Mercenary (uncredited)", "credit_id": "56258b759251413980002af5", "gender": 0, "id": 1075845, "name": "Rick Bolander", "order": 91}, {"cast_id": 239, "character": "Police Officer (uncredited)", "credit_id": "56258bb192514135b000724c", "gender": 0, "id": 1283949, "name": "Kyle Patrick Brennan", "order": 92}, {"cast_id": 240, "character": "Gotham City Police Officer (uncredited)", "credit_id": "56267a109251412f15000873", "gender": 0, "id": 1344943, "name": "Scott Churchson", "order": 93}, {"cast_id": 241, "character": "Gotham Rogues Coach (uncredited)", "credit_id": "56267aeec3a3680e200186f9", "gender": 0, "id": 1240191, "name": "Bill Cowher", "order": 94}, {"cast_id": 242, "character": "Pentagon Navy Petty (uncredited)", "credit_id": "56267bbc9251412f150008ac", "gender": 0, "id": 1359461, "name": "Graham Curry", "order": 95}, {"cast_id": 243, "character": "Reporter (uncredited)", "credit_id": "5626dd3f92514137bb0006c8", "gender": 1, "id": 1163300, "name": "Stephanie Domini Ehlert", "order": 96}, {"cast_id": 244, "character": "Older Upscale Person (uncredited)", "credit_id": "5627ca69c3a3687c52000500", "gender": 0, "id": 93752, "name": "John Farrer", "order": 97}, {"cast_id": 245, "character": "Prisoner / Thug (uncredited)", "credit_id": "5627caafc3a3687c600004b3", "gender": 0, "id": 1343309, "name": "Frank Fata", "order": 98}, {"cast_id": 246, "character": "Stock Broker (uncredited)", "credit_id": "562830b7c3a3684880000421", "gender": 0, "id": 1372419, "name": "Christopher Bryan Gomez", "order": 99}, {"cast_id": 247, "character": "Thug (uncredited)", "credit_id": "562831229251414cdd000442", "gender": 0, "id": 1502323, "name": "Vito Grassi", "order": 100}, {"cast_id": 248, "character": "Stockbroker in Snipers Scoop - Stock Exchange (uncredited)", "credit_id": "5628314ec3a368487d00043e", "gender": 2, "id": 1509064, "name": "Michael Wren Gucciardo", "order": 101}, {"cast_id": 249, "character": "Prisoner (uncredited)", "credit_id": "56291c98c3a368487a0023d6", "gender": 2, "id": 1525392, "name": "Sam Harris", "order": 102}, {"cast_id": 250, "character": "Police Officer (uncredited)", "credit_id": "56291cdc9251414ccf002762", "gender": 0, "id": 1365976, "name": "Ed Heavey", "order": 103}, {"cast_id": 251, "character": "Gotham Police Officer / Fan (uncredited)", "credit_id": "56291d5cc3a368488c002830", "gender": 2, "id": 1098036, "name": "John W. Iwanonkiw", "order": 104}, {"cast_id": 252, "character": "Gordon's Cop #4 (uncredited)", "credit_id": "56291dec9251414cd20026d0", "gender": 0, "id": 1354413, "name": "Cindy Jackson", "order": 105}, {"cast_id": 253, "character": "Boom Operator News Crew (uncredited)", "credit_id": "56291ecc9251414cd800251f", "gender": 0, "id": 123875, "name": "Daniel Jordano", "order": 106}, {"cast_id": 254, "character": "Gothamite (uncredited)", "credit_id": "562974c7c3a3681b5e000691", "gender": 0, "id": 127060, "name": "William Kania", "order": 107}, {"cast_id": 255, "character": "Gotham Rogues Fan (uncredited)", "credit_id": "562974f39251412853000708", "gender": 0, "id": 1388256, "name": "Tiffany Kemp", "order": 108}, {"cast_id": 256, "character": "Stock Broker (uncredited)", "credit_id": "562975e8c3a3681b4b00067b", "gender": 0, "id": 1241239, "name": "Sun Jae Kim", "order": 109}, {"cast_id": 257, "character": "Thug (uncredited)", "credit_id": "56297620c3a3681b5e0006c6", "gender": 0, "id": 1378466, "name": "Hrvoje Klecz", "order": 110}, {"cast_id": 258, "character": "Wall Street Broker (uncredited)", "credit_id": "5629768a9251412845000609", "gender": 0, "id": 1264686, "name": "Alex Kruz", "order": 111}, {"cast_id": 259, "character": "Gotham City Police Officer (uncredited)", "credit_id": "562a6fcf9251414ab7000d11", "gender": 0, "id": 1169299, "name": "Tyler La Marr", "order": 112}, {"cast_id": 260, "character": "Thug (uncredited)", "credit_id": "562a7046c3a3681b5c002691", "gender": 2, "id": 1269611, "name": "LeJon", "order": 113}, {"cast_id": 261, "character": "Gotham City Police Officer (uncredited)", "credit_id": "562a706fc3a3681b610028d9", "gender": 0, "id": 1446471, "name": "Paul Jude Letersky", "order": 114}, {"cast_id": 262, "character": "Prisoner (uncredited)", "credit_id": "562a70e5c3a3681b520027e1", "gender": 0, "id": 1188950, "name": "Joe Lipari", "order": 115}, {"cast_id": 263, "character": "Tourist (uncredited)", "credit_id": "562a7123c3a3681b5900267c", "gender": 0, "id": 1383091, "name": "Silvia Lombardo", "order": 116}, {"cast_id": 264, "character": "Gotham Rogues Fan (uncredited)", "credit_id": "562ad1bd9251414006001a31", "gender": 0, "id": 1480128, "name": "Jorge Mardel", "order": 117}, {"cast_id": 265, "character": "Gotham Rogues Fan (uncredited)", "credit_id": "562ad293925141284a0032ba", "gender": 0, "id": 1174970, "name": "Cale McConnell", "order": 118}, {"cast_id": 266, "character": "Gotham City Police Officer (uncredited)", "credit_id": "562ad2c6c3a3681b4d003b12", "gender": 0, "id": 127063, "name": "David Dale McCue", "order": 119}, {"cast_id": 267, "character": "Gotham Rogues Fan (uncredited)", "credit_id": "562ad2f49251412857003295", "gender": 1, "id": 1480130, "name": "Tiffany Sander McKenzie", "order": 120}, {"cast_id": 268, "character": "Angry Mobster (uncredited)", "credit_id": "562ad32f92514128530033a7", "gender": 0, "id": 1505308, "name": "Allen Merritt", "order": 121}, {"cast_id": 269, "character": "Wayne Enterprises Security (uncredited)", "credit_id": "562ad36ac3a3681b4d003b44", "gender": 0, "id": 1509148, "name": "Olan Montgomery", "order": 122}, {"cast_id": 270, "character": "Mercenary (uncredited)", "credit_id": "562ad3cdc3a3681b4d003b5b", "gender": 0, "id": 122339, "name": "Alex Moore", "order": 123}, {"cast_id": 271, "character": "Gotham City Police Officer (uncredited)", "credit_id": "562bb8699251412853005938", "gender": 0, "id": 93778, "name": "Shane Nolan", "order": 124}, {"cast_id": 272, "character": "Prisoner / Thug (uncredited)", "credit_id": "562bb8a1c3a3681b54005616", "gender": 0, "id": 1205749, "name": "Jackson Nunn", "order": 125}, {"cast_id": 273, "character": "Gotham City News Cameraman (uncredited)", "credit_id": "562bb8e1c3a3681b520051ef", "gender": 0, "id": 1480150, "name": "Joseph O'Brien", "order": 126}, {"cast_id": 274, "character": "Prison Guard (uncredited)", "credit_id": "562d1d8d9251414ad80066d8", "gender": 2, "id": 20582, "name": "Michael Papajohn", "order": 127}, {"cast_id": 275, "character": "Prisoner / Mob (uncredited)", "credit_id": "562d1dafc3a3681b4b007bf8", "gender": 0, "id": 1298014, "name": "Salomon Passariello", "order": 128}, {"cast_id": 276, "character": "Gotham Stock Trader (uncredited)", "credit_id": "562d1f0592514128530088c1", "gender": 0, "id": 1429650, "name": "Kyle David Pierce", "order": 129}, {"cast_id": 277, "character": "Gotham Rogues Player (uncredited)", "credit_id": "562d1f3c9251412845007b7b", "gender": 0, "id": 1349600, "name": "Troy Polamalu", "order": 130}, {"cast_id": 278, "character": "Gotham Police Officer (uncredited)", "credit_id": "562d1fc89251412857007fd5", "gender": 0, "id": 1066138, "name": "Michael Power", "order": 131}, {"cast_id": 279, "character": "Thug (uncredited)", "credit_id": "562e68b892514140060097f1", "gender": 0, "id": 565508, "name": "James Rawlings", "order": 132}, {"cast_id": 280, "character": "Doris in Black (uncredited)", "credit_id": "562e696e9251410a22006da5", "gender": 0, "id": 1513716, "name": "Kirsten Roeters", "order": 133}, {"cast_id": 281, "character": "Gotham Rogues Player (uncredited)", "credit_id": "562e69a79251414006009814", "gender": 0, "id": 1215314, "name": "Ben Roethlisberger", "order": 134}, {"cast_id": 282, "character": "Gotham Police Officer (uncredited)", "credit_id": "562e6a059251410a22006dba", "gender": 2, "id": 1452954, "name": "Mark Roman", "order": 135}, {"cast_id": 283, "character": "Thug (uncredited)", "credit_id": "562ed4919251410a22007aab", "gender": 2, "id": 1451618, "name": "Anthony J. Sacco", "order": 136}, {"cast_id": 284, "character": "Angry Thug (uncredited)", "credit_id": "562ed4c7c3a3681b6100c5aa", "gender": 0, "id": 1085730, "name": "Eric Salazar", "order": 137}, {"cast_id": 285, "character": "Hot Football Fan (uncredited)", "credit_id": "562ed503c3a3681b5c00bed4", "gender": 0, "id": 557202, "name": "Emily Schooley", "order": 138}, {"cast_id": 286, "character": "Gotham Rogues Owner (uncredited)", "credit_id": "562fbf75c3a3681b5c00dc2a", "gender": 0, "id": 54211, "name": "Thomas Tull", "order": 139}, {"cast_id": 287, "character": "Thug (uncredited)", "credit_id": "562fbfd3c3a3681b6100e4f0", "gender": 2, "id": 1480223, "name": "Chris Vaina", "order": 140}, {"cast_id": 288, "character": "Prisoner (voice) (uncredited)", "credit_id": "562fbff69251414ab700beee", "gender": 0, "id": 102516, "name": "Vincent van Ommen", "order": 141}, {"cast_id": 289, "character": "Gotham City Press (uncredited)", "credit_id": "562fc0609251414ab700bf02", "gender": 0, "id": 1205751, "name": "Michelle Vezzani", "order": 142}, {"cast_id": 290, "character": "Gotham Rogues Fan (uncredited)", "credit_id": "562fc0af925141285700d780", "gender": 0, "id": 1205623, "name": "Barbara Vincent", "order": 143}, {"cast_id": 291, "character": "Gotham City Police Officer (uncredited)", "credit_id": "5630244bc3a3681b5200e663", "gender": 0, "id": 1521872, "name": "Justin Michael Woods", "order": 144}, {"cast_id": 292, "character": "Mercenary Soldier (uncredited)", "credit_id": "5630248e925141284c00e8af", "gender": 0, "id": 306870, "name": "Jason Yee", "order": 145}, {"cast_id": 293, "character": "Gotham Citizen (uncredited)", "credit_id": "563024f6c3a3681b5c00e746", "gender": 1, "id": 1205141, "name": "Maria Zambrana", "order": 146}, {"cast_id": 294, "character": "Gotham City Police Officer (uncredited)", "credit_id": "56302558925141284c00e8c9", "gender": 0, "id": 1343746, "name": "John Zion", "order": 147}, {"cast_id": 295, "character": "Thug (uncredited)", "credit_id": "56302586c3a3681b4d0101a4", "gender": 2, "id": 1454322, "name": "Alex Ziwak", "order": 148}, {"cast_id": 312, "character": "Gotham City Police Officer (uncredited)", "credit_id": "567b4b6ac3a3684bcc001325", "gender": 2, "id": 1553053, "name": "Tommy Bayiokos", "order": 149}, {"cast_id": 313, "character": "Football Fan (uncredited)", "credit_id": "567c3783c3a36860e90013c3", "gender": 0, "id": 1553307, "name": "Matthew Gooley", "order": 150}, {"cast_id": 314, "character": "Cop (uncredited)", "credit_id": "567c9d3d9251417ddd0050fc", "gender": 0, "id": 1553377, "name": "Jeff Moffitt", "order": 151}, {"cast_id": 350, "character": "Football Fan (uncredited)", "credit_id": "56ba2843c3a3687c9e00008d", "gender": 0, "id": 1574936, "name": "Mark Falvo", "order": 152}, {"cast_id": 352, "character": "Thug (uncredited)", "credit_id": "56be271e9251417344004195", "gender": 0, "id": 1576421, "name": "Diogo Hausen", "order": 153}, {"cast_id": 355, "character": "Prisoner (uncredited)", "credit_id": "56c8aca1925141172f00382b", "gender": 2, "id": 1580574, "name": "Gary Sievers", "order": 154}, {"cast_id": 356, "character": "Mercenary (uncredited)", "credit_id": "56d0fb3d925141799e004ac6", "gender": 0, "id": 1583389, "name": "Orion McCabe", "order": 155}, {"cast_id": 368, "character": "Court Room Thug (uncredited)", "credit_id": "575af48cc3a368540300009a", "gender": 2, "id": 1633514, "name": "London May", "order": 156}, {"cast_id": 383, "character": "Gothamite (uncredited)", "credit_id": "57c84ca89251415a13000102", "gender": 2, "id": 1673036, "name": "James Quinn", "order": 157}, {"cast_id": 385, "character": "Thug #2 in Basement", "credit_id": "59309c45c3a3686a70000458", "gender": 2, "id": 1536670, "name": "Daniel Newman", "order": 158}]
5th row	[{"cast_id": 5, "character": "John Carter", "credit_id": "52fe479ac3a36847f813ea75", "gender": 2, "id": 60900, "name": "Taylor Kitsch", "order": 0}, {"cast_id": 20, "character": "Dejah Thoris", "credit_id": "52fe479ac3a36847f813eab3", "gender": 1, "id": 21044, "name": "Lynn Collins", "order": 1}, {"cast_id": 7, "character": "Sola", "credit_id": "52fe479ac3a36847f813ea79", "gender": 1, "id": 2206, "name": "Samantha Morton", "order": 2}, {"cast_id": 3, "character": "Tars Tarkas", "credit_id": "52fe479ac3a36847f813ea6d", "gender": 2, "id": 5293, "name": "Willem Dafoe", "order": 3}, {"cast_id": 8, "character": "Tal Hajus", "credit_id": "52fe479ac3a36847f813ea7d", "gender": 2, "id": 19159, "name": "Thomas Haden Church", "order": 4}, {"cast_id": 2, "character": "Matai Shang", "credit_id": "52fe479ac3a36847f813ea69", "gender": 2, "id": 2983, "name": "Mark Strong", "order": 5}, {"cast_id": 4, "character": "Tardos Mors", "credit_id": "52fe479ac3a36847f813ea71", "gender": 2, "id": 8785, "name": "Ciar\u00e1n Hinds", "order": 6}, {"cast_id": 9, "character": "Sab Than", "credit_id": "52fe479ac3a36847f813ea81", "gender": 2, "id": 17287, "name": "Dominic West", "order": 7}, {"cast_id": 10, "character": "Kantos Kan", "credit_id": "52fe479ac3a36847f813ea85", "gender": 2, "id": 17648, "name": "James Purefoy", "order": 8}, {"cast_id": 11, "character": "Powell", "credit_id": "52fe479ac3a36847f813ea89", "gender": 2, "id": 17419, "name": "Bryan Cranston", "order": 9}, {"cast_id": 12, "character": "Sarkoja", "credit_id": "52fe479ac3a36847f813ea8d", "gender": 1, "id": 6416, "name": "Polly Walker", "order": 10}, {"cast_id": 13, "character": "Edgar Rice Burroughs", "credit_id": "52fe479ac3a36847f813ea91", "gender": 2, "id": 57675, "name": "Daryl Sabara", "order": 11}, {"cast_id": 14, "character": "Stayman #1 / Helm", "credit_id": "52fe479ac3a36847f813ea95", "gender": 2, "id": 89830, "name": "Arkie Reece", "order": 12}, {"cast_id": 15, "character": "Stayman #3", "credit_id": "52fe479ac3a36847f813ea99", "gender": 2, "id": 205278, "name": "Davood Ghadami", "order": 13}, {"cast_id": 16, "character": "Lightmaster", "credit_id": "52fe479ac3a36847f813ea9d", "gender": 1, "id": 218345, "name": "Pippa Nixon", "order": 14}, {"cast_id": 46, "character": "Thern #2", "credit_id": "584ef986c3a3682a940010d0", "gender": 2, "id": 1390394, "name": "James Embree", "order": 15}, {"cast_id": 77, "character": "Thern #1", "credit_id": "58c68f82c3a3684114014f58", "gender": 0, "id": 1518112, "name": "Philip Philmar", "order": 16}, {"cast_id": 47, "character": "Pretty Woman in NYC Doorway", "credit_id": "584f133992514107110024b8", "gender": 1, "id": 1721985, "name": "Emily Tierney", "order": 17}, {"cast_id": 48, "character": "Telegraph Clerk", "credit_id": "584f16d192514107000026a2", "gender": 2, "id": 1721992, "name": "Edmund Kente", "order": 18}, {"cast_id": 49, "character": "Dalton", "credit_id": "584f1a94c3a3682a8d0026e7", "gender": 2, "id": 118617, "name": "Nicholas Woodeson", "order": 19}, {"cast_id": 50, "character": "Stable Boy", "credit_id": "584f1f2b9251410700002be9", "gender": 2, "id": 1722006, "name": "Kyle Agnew", "order": 20}, {"cast_id": 51, "character": "Dix the Storekeeper", "credit_id": "584f28aec3a3683150000214", "gender": 2, "id": 130129, "name": "Don Stark", "order": 21}, {"cast_id": 52, "character": "Rowdy #1", "credit_id": "58580465c3a3683150056d0c", "gender": 2, "id": 65716, "name": "Josh Daugherty", "order": 22}, {"cast_id": 53, "character": "Rowdy #2", "credit_id": "58580cd89251411a4605f517", "gender": 2, "id": 1724736, "name": "Jared Cyr", "order": 23}, {"cast_id": 37, "character": "Stockade Guard", "credit_id": "54e5a58d925141529c000f89", "gender": 2, "id": 62082, "name": "Christopher Goodman", "order": 24}, {"cast_id": 54, "character": "Sarah Carter", "credit_id": "585823dc925141594100c816", "gender": 1, "id": 1367241, "name": "Amanda Clayton", "order": 25}, {"cast_id": 170, "character": "Apache #1 (as Joe Billingiere)", "credit_id": "595ad40c9251410bfa04831e", "gender": 0, "id": 1844319, "name": "Joseph Billingiere", "order": 26}]

Common Values

Value	Count	Frequency (%)
[]	43	0.9%
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{"cast_id": 12, "character": "Dr. Max Patel", "credit_id": "52fe48009251416c750ac9f1", "gender": 2, "id": 95697, "name": "Dileep Rao", "order": 10}, {"cast_id": 13, "character": "Lyle Wainfleet", "credit_id": "52fe48009251416c750ac9f5", "gender": 2, "id": 98215, "name": "Matt Gerald", "order": 11}, {"cast_id": 32, "character": "Private Fike", "credit_id": "52fe48009251416c750aca5b", "gender": 2, "id": 154153, "name": "Sean Anthony Moran", "order": 12}, {"cast_id": 33, "character": "Cryo Vault Med Tech", "credit_id": "52fe48009251416c750aca5f", "gender": 2, "id": 397312, "name": "Jason Whyte", "order": 13}, {"cast_id": 34, "character": "Venture Star Crew Chief", "credit_id": "52fe48009251416c750aca63", "gender": 2, "id": 42317, "name": "Scott Lawrence", "order": 14}, {"cast_id": 35, "character": "Lock Up Trooper", "credit_id": "52fe48009251416c750aca67", "gender": 2, "id": 986734, "name": "Kelly Kilgour", "order": 15}, {"cast_id": 36, "character": "Shuttle Pilot", "credit_id": "52fe48009251416c750aca6b", "gender": 0, "id": 1207227, "name": "James Patrick Pitt", "order": 16}, {"cast_id": 37, "character": "Shuttle Co-Pilot", "credit_id": "52fe48009251416c750aca6f", "gender": 0, "id": 1180936, "name": "Sean Patrick Murphy", "order": 17}, {"cast_id": 38, "character": "Shuttle Crew Chief", "credit_id": "52fe48009251416c750aca73", "gender": 2, "id": 1019578, "name": "Peter Dillon", "order": 18}, {"cast_id": 39, "character": "Tractor Operator / Troupe", "credit_id": "52fe48009251416c750aca77", "gender": 0, "id": 91443, "name": "Kevin Dorman", "order": 19}, {"cast_id": 40, "character": "Dragon Gunship Pilot", "credit_id": "52fe48009251416c750aca7b", "gender": 2, "id": 173391, "name": "Kelson Henderson", "order": 20}, {"cast_id": 41, "character": "Dragon Gunship Gunner", "credit_id": "52fe48009251416c750aca7f", "gender": 0, "id": 1207236, "name": "David Van Horn", "order": 21}, {"cast_id": 42, "character": "Dragon Gunship Navigator", "credit_id": "52fe48009251416c750aca83", "gender": 0, "id": 215913, "name": "Jacob Tomuri", "order": 22}, {"cast_id": 43, "character": "Suit #1", "credit_id": "52fe48009251416c750aca87", "gender": 0, "id": 143206, "name": "Michael Blain-Rozgay", "order": 23}, {"cast_id": 44, "character": "Suit #2", "credit_id": "52fe48009251416c750aca8b", "gender": 2, "id": 169676, "name": "Jon Curry", "order": 24}, {"cast_id": 46, "character": "Ambient Room Tech", "credit_id": "52fe48009251416c750aca8f", "gender": 0, "id": 1048610, "name": "Luke Hawker", "order": 25}, {"cast_id": 47, "character": "Ambient Room Tech / Troupe", "credit_id": "52fe48009251416c750aca93", "gender": 0, "id": 42288, "name": "Woody Schultz", "order": 26}, {"cast_id": 48, "character": "Horse Clan Leader", "credit_id": "52fe48009251416c750aca97", "gender": 2, "id": 68278, "name": "Peter Mensah", "order": 27}, {"cast_id": 49, "character": "Link Room Tech", "credit_id": "52fe48009251416c750aca9b", "gender": 0, "id": 1207247, "name": "Sonia Yee", "order": 28}, {"cast_id": 50, "character": "Basketball Avatar / Troupe", "credit_id": "52fe48009251416c750aca9f", "gender": 1, "id": 1207248, "name": "Jahnel Curfman", "order": 29}, {"cast_id": 51, "character": "Basketball Avatar", "credit_id": "52fe48009251416c750acaa3", "gender": 0, "id": 89714, "name": "Ilram Choi", "order": 30}, {"cast_id": 52, "character": "Na'vi Child", "credit_id": "52fe48009251416c750acaa7", "gender": 0, "id": 1207249, "name": "Kyla Warren", "order": 31}, {"cast_id": 53, "character": "Troupe", "credit_id": "52fe48009251416c750acaab", "gender": 0, "id": 1207250, "name": "Lisa Roumain", "order": 32}, {"cast_id": 54, "character": "Troupe", "credit_id": "52fe48009251416c750acaaf", "gender": 1, "id": 83105, "name": "Debra Wilson", "order": 33}, {"cast_id": 57, "character": "Troupe", "credit_id": "52fe48009251416c750acabb", "gender": 0, "id": 1207253, "name": "Chris Mala", "order": 34}, {"cast_id": 55, "character": "Troupe", "credit_id": "52fe48009251416c750acab3", "gender": 0, "id": 1207251, "name": "Taylor Kibby", "order": 35}, {"cast_id": 56, "character": "Troupe", "credit_id": "52fe48009251416c750acab7", "gender": 0, "id": 1207252, "name": "Jodie Landau", "order": 36}, {"cast_id": 58, "character": "Troupe", "credit_id": "52fe48009251416c750acabf", "gender": 0, "id": 1207254, "name": "Julie Lamm", "order": 37}, {"cast_id": 59, "character": "Troupe", "credit_id": "52fe48009251416c750acac3", "gender": 0, "id": 1207257, "name": "Cullen B. Madden", "order": 38}, {"cast_id": 60, "character": "Troupe", "credit_id": "52fe48009251416c750acac7", "gender": 0, "id": 1207259, "name": "Joseph Brady Madden", "order": 39}, {"cast_id": 61, "character": "Troupe", "credit_id": "52fe48009251416c750acacb", "gender": 0, "id": 1207262, "name": "Frankie Torres", "order": 40}, {"cast_id": 62, "character": "Troupe", "credit_id": "52fe48009251416c750acacf", "gender": 1, "id": 1158600, "name": "Austin Wilson", "order": 41}, {"cast_id": 63, "character": "Troupe", "credit_id": "52fe48019251416c750acad3", "gender": 1, "id": 983705, "name": "Sara Wilson", "order": 42}, {"cast_id": 64, "character": "Troupe", "credit_id": "52fe48019251416c750acad7", "gender": 0, "id": 1207263, "name": "Tamica Washington-Miller", "order": 43}, {"cast_id": 65, "character": "Op Center Staff", "credit_id": "52fe48019251416c750acadb", "gender": 1, "id": 1145098, "name": "Lucy Briant", "order": 44}, {"cast_id": 66, "character": "Op Center Staff", "credit_id": "52fe48019251416c750acadf", "gender": 2, "id": 33305, "name": "Nathan Meister", "order": 45}, {"cast_id": 67, "character": "Op Center Staff", "credit_id": "52fe48019251416c750acae3", "gender": 0, "id": 1207264, "name": "Gerry Blair", "order": 46}, {"cast_id": 68, "character": "Op Center Staff", "credit_id": "52fe48019251416c750acae7", "gender": 2, "id": 33311, "name": "Matthew Chamberlain", "order": 47}, {"cast_id": 69, "character": "Op Center Staff", "credit_id": "52fe48019251416c750acaeb", "gender": 0, "id": 1207265, "name": "Paul Yates", "order": 48}, {"cast_id": 70, "character": "Op Center Duty Officer", "credit_id": "52fe48019251416c750acaef", "gender": 0, "id": 1207266, "name": "Wray Wilson", "order": 49}, {"cast_id": 71, "character": "Op Center Staff", "credit_id": "52fe48019251416c750acaf3", "gender": 2, "id": 54492, "name": "James Gaylyn", "order": 50}, {"cast_id": 72, "character": "Dancer", "credit_id": "52fe48019251416c750acaf7", "gender": 0, "id": 1207267, "name": "Melvin Leno Clark III", "order": 51}, {"cast_id": 73, "character": "Dancer", "credit_id": "52fe48019251416c750acafb", "gender": 0, "id": 1207268, "name": "Carvon Futrell", "order": 52}, {"cast_id": 74, "character": "Dancer", "credit_id": "52fe48019251416c750acaff", "gender": 0, "id": 1207269, "name": "Brandon Jelkes", "order": 53}, {"cast_id": 75, "character": "Dancer", "credit_id": "52fe48019251416c750acb03", "gender": 0, "id": 1207270, "name": "Micah Moch", "order": 54}, {"cast_id": 76, "character": "Dancer", "credit_id": "52fe48019251416c750acb07", "gender": 0, "id": 1207271, "name": "Hanniyah Muhammad", "order": 55}, {"cast_id": 77, "character": "Dancer", "credit_id": "52fe48019251416c750acb0b", "gender": 0, "id": 1207272, "name": "Christopher Nolen", "order": 56}, {"cast_id": 78, "character": "Dancer", "credit_id": "52fe48019251416c750acb0f", "gender": 0, "id": 1207273, "name": "Christa Oliver", "order": 57}, {"cast_id": 79, "character": "Dancer", "credit_id": "52fe48019251416c750acb13", "gender": 0, "id": 1207274, "name": "April Marie Thomas", "order": 58}, {"cast_id": 80, "character": "Dancer", "credit_id": "52fe48019251416c750acb17", "gender": 0, "id": 1207275, "name": "Bravita A. Threatt", "order": 59}, {"cast_id": 81, "character": "Mining Chief (uncredited)", "credit_id": "52fe48019251416c750acb1b", "gender": 0, "id": 1207276, "name": "Colin Bleasdale", "order": 60}, {"cast_id": 82, "character": "Veteran Miner (uncredited)", "credit_id": "52fe48019251416c750acb1f", "gender": 0, "id": 107969, "name": "Mike Bodnar", "order": 61}, {"cast_id": 83, "character": "Richard (uncredited)", "credit_id": "52fe48019251416c750acb23", "gender": 0, "id": 1207278, "name": "Matt Clayton", "order": 62}, {"cast_id": 84, "character": "Nav'i (uncredited)", "credit_id": "52fe48019251416c750acb27", "gender": 1, "id": 147898, "name": "Nicole Dionne", "order": 63}, {"cast_id": 85, "character": "Trooper (uncredited)", "credit_id": "52fe48019251416c750acb2b", "gender": 0, "id": 1207280, "name": "Jamie Harrison", "order": 64}, {"cast_id": 86, "character": "Trooper (uncredited)", "credit_id": "52fe48019251416c750acb2f", "gender": 0, "id": 1207281, "name": "Allan Henry", "order": 65}, {"cast_id": 87, "character": "Ground Technician (uncredited)", "credit_id": "52fe48019251416c750acb33", "gender": 2, "id": 1207282, "name": "Anthony Ingruber", "order": 66}, {"cast_id": 88, "character": "Flight Crew Mechanic (uncredited)", "credit_id": "52fe48019251416c750acb37", "gender": 0, "id": 1207283, "name": "Ashley Jeffery", "order": 67}, {"cast_id": 14, "character": "Samson Pilot", "credit_id": "52fe48009251416c750ac9f9", "gender": 0, "id": 98216, "name": "Dean Knowsley", "order": 68}, {"cast_id": 89, "character": "Trooper (uncredited)", "credit_id": "52fe48019251416c750acb3b", "gender": 0, "id": 1201399, "name": "Joseph Mika-Hunt", "order": 69}, {"cast_id": 90, "character": "Banshee (uncredited)", "credit_id": "52fe48019251416c750acb3f", "gender": 0, "id": 236696, "name": "Terry Notary", "order": 70}, {"cast_id": 91, "character": "Soldier (uncredited)", "credit_id": "52fe48019251416c750acb43", "gender": 0, "id": 1207287, "name": "Kai Pantano", "order": 71}, {"cast_id": 92, "character": "Blast Technician (uncredited)", "credit_id": "52fe48019251416c750acb47", "gender": 0, "id": 1207288, "name": "Logan Pithyou", "order": 72}, {"cast_id": 93, "character": "Vindum Raah (uncredited)", "credit_id": "52fe48019251416c750acb4b", "gender": 0, "id": 1207289, "name": "Stuart Pollock", "order": 73}, {"cast_id": 94, "character": "Hero (uncredited)", "credit_id": "52fe48019251416c750acb4f", "gender": 0, "id": 584868, "name": "Raja", "order": 74}, {"cast_id": 95, "character": "Ops Centreworker (uncredited)", "credit_id": "52fe48019251416c750acb53", "gender": 0, "id": 1207290, "name": "Gareth Ruck", "order": 75}, {"cast_id": 96, "character": "Engineer (uncredited)", "credit_id": "52fe48019251416c750acb57", "gender": 0, "id": 1062463, "name": "Rhian Sheehan", "order": 76}, {"cast_id": 97, "character": "Col. Quaritch's Mech Suit (uncredited)", "credit_id": "52fe48019251416c750acb5b", "gender": 0, "id": 60656, "name": "T. J. Storm", "order": 77}, {"cast_id": 98, "character": "Female Marine (uncredited)", "credit_id": "52fe48019251416c750acb5f", "gender": 0, "id": 1207291, "name": "Jodie Taylor", "order": 78}, {"cast_id": 99, "character": "Ikran Clan Leader (uncredited)", "credit_id": "52fe48019251416c750acb63", "gender": 1, "id": 1186027, "name": "Alicia Vela-Bailey", "order": 79}, {"cast_id": 100, "character": "Geologist (uncredited)", "credit_id": "52fe48019251416c750acb67", "gender": 0, "id": 1207292, "name": "Richard Whiteside", "order": 80}, {"cast_id": 101, "character": "Na'vi (uncredited)", "credit_id": "52fe48019251416c750acb6b", "gender": 0, "id": 103259, "name": "Nikie Zambo", "order": 81}, {"cast_id": 102, "character": "Ambient Room Tech / Troupe", "credit_id": "52fe48019251416c750acb6f", "gender": 1, "id": 42286, "name": "Julene Renee", "order": 82}]	1	< 0.1%
[{"cast_id": 1, "character": "Kelli Presley", "credit_id": "52fe4517c3a36847f80bbec3", "gender": 1, "id": 55775, "name": "Katie Cassidy", "order": 0}, {"cast_id": 2, "character": "Melissa", "credit_id": "52fe4517c3a36847f80bbec7", "gender": 1, "id": 49961, "name": "Michelle Trachtenberg", "order": 1}, {"cast_id": 3, "character": "Leigh Colvin", "credit_id": "52fe4517c3a36847f80bbecb", "gender": 1, "id": 58392, "name": "Kristen Cloke", "order": 2}, {"cast_id": 4, "character": "Heather Fitzgerald", "credit_id": "52fe4517c3a36847f80bbecf", "gender": 1, "id": 17628, "name": "Mary Elizabeth Winstead", "order": 3}, {"cast_id": 5, "character": "Dana", "credit_id": "52fe4517c3a36847f80bbed3", "gender": 1, "id": 22082, "name": "Lacey Chabert", "order": 4}, {"cast_id": 6, "character": "Barbara 'Ms. Mac' MacHenry", "credit_id": "52fe4517c3a36847f80bbed7", "gender": 1, "id": 8263, "name": "Andrea Martin", "order": 5}, {"cast_id": 7, "character": "Lauren Hannon", "credit_id": "52fe4517c3a36847f80bbedb", "gender": 1, "id": 58393, "name": "Crystal Lowe", "order": 6}, {"cast_id": 9, "character": "Billy's Mother", "credit_id": "52fe4517c3a36847f80bbedf", "gender": 1, "id": 58395, "name": "Karin Konoval", "order": 7}, {"cast_id": 10, "character": "Agnes - 16", "credit_id": "52fe4517c3a36847f80bbee3", "gender": 1, "id": 58396, "name": "Dean Friss", "order": 8}, {"cast_id": 11, "character": "Billy Lenz - 20", "credit_id": "52fe4517c3a36847f80bbee7", "gender": 2, "id": 58397, "name": "Robert Mann", "order": 9}, {"cast_id": 12, "character": "Megan Helms", "credit_id": "52fe4517c3a36847f80bbeeb", "gender": 1, "id": 58398, "name": "Jessica Harmon", "order": 10}, {"cast_id": 13, "character": "Clair Crosby", "credit_id": "52fe4517c3a36847f80bbeef", "gender": 1, "id": 58399, "name": "Leela Savasta", "order": 11}, {"cast_id": 14, "character": "Eve Agnew", "credit_id": "52fe4517c3a36847f80bbef3", "gender": 1, "id": 58400, "name": "Kathleen Kole", "order": 12}, {"cast_id": 15, "character": "Billy Lenz - 5", "credit_id": "52fe4517c3a36847f80bbef7", "gender": 2, "id": 58402, "name": "Cainan Wiebe", "order": 13}, {"cast_id": 22, "character": "Candy Striper", "credit_id": "52fe4517c3a36847f80bbf19", "gender": 0, "id": 77866, "name": "Alycia Purrott", "order": 14}, {"cast_id": 23, "character": "Kyle Autry", "credit_id": "52fe4517c3a36847f80bbf1d", "gender": 2, "id": 62692, "name": "Oliver Hudson", "order": 15}]	1	< 0.1%
[{"cast_id": 1, "character": "Mr. Longbaugh", "credit_id": "52fe4305c3a36847f8034673", "gender": 2, "id": 1121, "name": "Benicio del Toro", "order": 0}, {"cast_id": 2, "character": "Mr. Parker", "credit_id": "52fe4305c3a36847f8034677", "gender": 2, "id": 11864, "name": "Ryan Phillippe", "order": 1}, {"cast_id": 3, "character": "Robin", "credit_id": "52fe4305c3a36847f803467b", "gender": 1, "id": 3196, "name": "Juliette Lewis", "order": 2}, {"cast_id": 6, "character": "Joe Sarno", "credit_id": "52fe4305c3a36847f8034687", "gender": 2, "id": 3085, "name": "James Caan", "order": 3}, {"cast_id": 4, "character": "Jeffers", "credit_id": "52fe4305c3a36847f803467f", "gender": 2, "id": 17637, "name": "Taye Diggs", "order": 4}, {"cast_id": 5, "character": "Obecks", "credit_id": "52fe4305c3a36847f8034683", "gender": 2, "id": 18070, "name": "Nicky Katt", "order": 5}, {"cast_id": 7, "character": "Abner Mercer", "credit_id": "52fe4305c3a36847f803468b", "gender": 2, "id": 18071, "name": "Geoffrey Lewis", "order": 6}, {"cast_id": 10, "character": "Raving Bitch", "credit_id": "52fe4305c3a36847f8034695", "gender": 1, "id": 7404, "name": "Sarah Silverman", "order": 7}, {"cast_id": 12, "character": "Dr. Allen Painter", "credit_id": "59692828c3a3683b42001048", "gender": 2, "id": 2695, "name": "Dylan Kussman", "order": 8}, {"cast_id": 13, "character": "Hale Chidduck", "credit_id": "59692843c3a3683b4f0010c3", "gender": 2, "id": 6914, "name": "Scott Wilson", "order": 9}, {"cast_id": 14, "character": "Francesca Chidduck", "credit_id": "59692861c3a3683b8c00129c", "gender": 1, "id": 148112, "name": "Kristin Lehman", "order": 10}, {"cast_id": 15, "character": "P. Whipped", "credit_id": "5969288092514136ac001125", "gender": 0, "id": 1384919, "name": "Henry Griffin", "order": 11}, {"cast_id": 16, "character": "Federale #1", "credit_id": "59692898c3a3683b6e00116f", "gender": 0, "id": 1194340, "name": "Armando Guerrero", "order": 12}, {"cast_id": 17, "character": "Federale #2", "credit_id": "596928aec3a3683b8c0012db", "gender": 0, "id": 1830044, "name": "Andres Orozco", "order": 13}, {"cast_id": 18, "character": "Sloppy Prostitute", "credit_id": "596928ed92514136d9001178", "gender": 1, "id": 1533696, "name": "Irene Santiago", "order": 14}]	1	< 0.1%
Other values (4751)	4751	98.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
character	106374	6.2%
id	106369	6.2%
order	106367	6.2%
name	106366	6.2%
credit_id	106365	6.2%
gender	106365	6.2%
cast_id	106365	6.2%
2	56411	3.3%
0	38574	2.2%
1	31942	1.9%
Other values (222347)	845462	49.2%

Most occurring characters

Value	Count	Frequency (%)
"	2128245	13.1%
	1712213	10.6%
e	1033663	6.4%
r	828558	5.1%
a	777898	4.8%
d	774292	4.8%
:	744747	4.6%
,	740382	4.6%
c	632071	3.9%
i	598023	3.7%
Other values (79)	6242169	38.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7008279	43.2%
Other Punctuation	3640842	22.5%
Decimal Number	2961037	18.3%
Space Separator	1712213	10.6%
Uppercase Letter	428546	2.6%
Connector Punctuation	212730	1.3%
Open Punctuation	122339	0.8%
Close Punctuation	122337	0.8%
Dash Punctuation	3915	< 0.1%
Modifier Symbol	11	< 0.1%
Other values (2)	12	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1033663	14.7%
r	828558	11.8%
a	777898	11.1%
d	774292	11.0%
c	632071	9.0%
i	598023	8.5%
t	429837	6.1%
n	398165	5.7%
o	259170	3.7%
s	201689	2.9%
Other values (16)	1074913	15.3%

Uppercase Letter

Value	Count	Frequency (%)
M	38745	9.0%
S	35686	8.3%
C	34240	8.0%
B	29955	7.0%
J	26899	6.3%
D	26670	6.2%
A	24192	5.6%
R	22279	5.2%
P	21082	4.9%
G	20592	4.8%
Other values (16)	148206	34.6%

Other Punctuation

Value	Count	Frequency (%)
"	2128245	58.5%
:	744747	20.5%
,	740382	20.3%
.	10580	0.3%
'	6726	0.2%
\	4985	0.1%
/	2614	0.1%
#	2457	0.1%
&	80	< 0.1%
*	12	< 0.1%
Other values (4)	14	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	401788	13.6%
2	354980	12.0%
0	346111	11.7%
5	341867	11.5%
3	315559	10.7%
4	314723	10.6%
8	245650	8.3%
6	242061	8.2%
7	206908	7.0%
9	191390	6.5%

Close Punctuation

Value	Count	Frequency (%)
}	106365	86.9%
)	11157	9.1%
]	4815	3.9%

Open Punctuation

Value	Count	Frequency (%)
{	106365	86.9%
(	11159	9.1%
[	4815	3.9%

Math Symbol

Value	Count	Frequency (%)
\|	5	83.3%
<	1	16.7%

Space Separator

Value	Count	Frequency (%)
	1712213	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	212730	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3915	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	11	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8775436	54.1%
Latin	7436825	45.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1033663	13.9%
r	828558	11.1%
a	777898	10.5%
d	774292	10.4%
c	632071	8.5%
i	598023	8.0%
t	429837	5.8%
n	398165	5.4%
o	259170	3.5%
s	201689	2.7%
Other values (42)	1503459	20.2%

Common

Value	Count	Frequency (%)
"	2128245	24.3%
	1712213	19.5%
:	744747	8.5%
,	740382	8.4%
1	401788	4.6%
2	354980	4.0%
0	346111	3.9%
5	341867	3.9%
3	315559	3.6%
4	314723	3.6%
Other values (27)	1374821	15.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16212261	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	2128245	13.1%
	1712213	10.6%
e	1033663	6.4%
r	828558	5.1%
a	777898	4.8%
d	774292	4.8%
:	744747	4.6%
,	740382	4.6%
c	632071	3.9%
i	598023	3.7%
Other values (79)	6242169	38.5%

crew
Categorical

HIGH CARDINALITY UNIFORM

Distinct	4776
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Memory size	75.1 KiB

[]	28
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Other values (4771)	4773

Length

Max length	62970
Median length	7601
Mean length	3952.5608
Min length	2

Characters and Unicode

Total characters	19007865
Distinct characters	80
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4769 ?
Unique (%)	99.2%

Sample

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Grubbs"}, {"credit_id": "58c69452c3a36840f6015741", "department": "Costume & Make-Up", "gender": 0, "id": 1414539, "job": "Makeup Artist", "name": "Deborah Rutherford"}, {"credit_id": "58c6946c9251411d15017617", "department": "Costume & Make-Up", "gender": 0, "id": 1414540, "job": "Makeup Artist", "name": "Don Rutherford"}, {"credit_id": "58c69a929251411d11017907", "department": "Sound", "gender": 0, "id": 1415464, "job": "Sound Effects Editor", "name": "Malcolm Fife"}, {"credit_id": "58c6923e9251411d11017382", "department": "Art", "gender": 0, "id": 1417396, "job": "Assistant Art Director", "name": "Toby Britton"}, {"credit_id": "58c69866c3a368413001545d", "department": "Costume & Make-Up", "gender": 0, "id": 1418124, "job": "Hair Designer", "name": "Kevin Alexander"}, {"credit_id": "58c693779251411d470181e4", "department": "Costume & Make-Up", "gender": 0, "id": 1421936, "job": "Key Makeup Artist", "name": "Kristie Matthiae"}, {"credit_id": "58c694a99251411d15017646", "department": "Costume & Make-Up", "gender": 0, "id": 1424151, "job": "Makeup Artist", "name": "Gerald Quist"}, {"credit_id": "58c693f39251411d110174a9", "department": "Costume & Make-Up", "gender": 0, "id": 1425411, "job": "Makeup Artist", "name": "Nuria Mbomio"}, {"credit_id": "58c68866c3a368413b015367", "department": "Visual Effects", "gender": 0, "id": 1428901, "job": "Animation Supervisor", "name": "Eamonn Butler"}, {"credit_id": "58c68ec89251411d11017191", "department": "Crew", "gender": 0, "id": 1428905, "job": "Visual Effects Editor", "name": "Laura Jennings"}, {"credit_id": "58c693919251411d0d017fde", "department": "Costume & Make-Up", "gender": 0, "id": 1428911, "job": "Makeup Artist", "name": "Ailbhe Lemass"}, {"credit_id": "58c6992f9251411d19017e49", "department": "Camera", "gender": 0, "id": 1430188, "job": "Camera Operator", "name": "Simon Finney"}, {"credit_id": "58c6948b9251411d15017628", "department": "Costume & Make-Up", "gender": 0, "id": 1441176, "job": "Makeup Artist", "name": "Eryn Krueger Mekash"}, {"credit_id": "58c692ddc3a368413b015a8d", "department": "Art", "gender": 0, "id": 1447571, "job": "Art Department Assistant", "name": "Travis Witkowski"}, {"credit_id": "58c694809251411d15017622", "department": "Costume & Make-Up", "gender": 0, "id": 1458894, "job": "Makeup Artist", "name": "Mike Mekash"}, {"credit_id": "58c6940e9251411d19017aad", "department": "Costume & Make-Up", "gender": 0, "id": 1530220, "job": "Makeup Artist", "name": "Kirstin Chalmers"}, {"credit_id": "58c698e89251411d5501777a", "department": "Costume & Make-Up", "gender": 0, "id": 1532325, "job": "Key Costumer", "name": "Kacie Seamons"}, {"credit_id": "58c693b39251411d30016f78", "department": "Costume & Make-Up", "gender": 0, "id": 1536539, "job": "Makeup Artist", "name": "Deborah Taylor"}, {"credit_id": "58c68e84c3a36840f60153a1", "department": "Crew", "gender": 0, "id": 1546844, "job": "Visual Effects Art Director", "name": "Ryan Church"}, {"credit_id": "58c693659251411d550173be", "department": "Costume & Make-Up", "gender": 0, "id": 1549655, "job": "Key Makeup Artist", "name": "Camille Henderson"}, {"credit_id": "58c68fd29251411d30016d3f", "department": "Crew", "gender": 0, "id": 1550851, "job": "Stunt Coordinator", "name": "Tom Struthers"}, {"credit_id": "58c692bfc3a36840b8016df9", "department": "Art", "gender": 0, "id": 1551810, "job": "Art Department Assistant", "name": "Liam Georgensen"}, {"credit_id": "58c692869251411d30016ed9", "department": "Art", "gender": 0, "id": 1561994, "job": "Art Department Coordinator", "name": "Lavinia Waters"}, {"credit_id": "58c697f89251411d30017205", "department": "Costume & Make-Up", "gender": 0, "id": 1613336, "job": "Makeup Artist", "name": "Greg T. Moon"}, {"credit_id": "58c69a07c3a36841200159ae", "department": "Production", "gender": 0, "id": 1640350, "job": "Production Coordinator", "name": "Richard Daldry"}, {"credit_id": "58c69979c3a368413b015eef", "department": "Sound", "gender": 2, "id": 1658269, "job": "Boom Operator", "name": "Stephen Finn"}, {"credit_id": "58c692e4c3a36840f601564a", "department": "Art", "gender": 0, "id": 1661321, "job": "Art Department Assistant", "name": "Tom Castronovo"}, {"credit_id": "58c69dadc3a36841280157a4", "department": "Crew", "gender": 0, "id": 1686002, "job": "Unit Publicist", "name": "Katherine McCormack"}, {"credit_id": "58c689439251411d15016ed6", "department": "Production", "gender": 0, "id": 1697623, "job": "Unit Production Manager", "name": "Steve Harding"}, {"credit_id": "58c68ebdc3a3684128014e11", "department": "Editing", "gender": 0, "id": 1710258, "job": "Additional Editing", "name": "Erik Jessen"}, {"credit_id": "58c689739251411d47017af1", "department": "Directing", "gender": 0, "id": 1750922, "job": "First Assistant Director", "name": "Tommy Gormley"}, {"credit_id": "58c692c7c3a36841300150c2", "department": "Art", "gender": 0, "id": 1761112, "job": "Art Department Assistant", "name": "Sarah Ginn"}, {"credit_id": "58c689aa9251411d55016d59", "department": "Directing", "gender": 0, "id": 1775681, "job": "Second Assistant Director", "name": "Ben Dixon"}, {"credit_id": "58c68a859251411d1901746d", "department": "Directing", "gender": 2, "id": 1775682, "job": "Second Assistant Director", "name": "Andrew M. Ward"}, {"credit_id": "58c692a4c3a368413b015a64", "department": "Art", "gender": 0, "id": 1775687, "job": "Art Department Coordinator", "name": "Stacey Newton"}, {"credit_id": "58c692b6c3a368412001546d", "department": "Art", "gender": 0, "id": 1775688, "job": "Art Department Assistant", "name": "Rachel Corbould"}, {"credit_id": "58c692d4c3a368413b015a88", "department": "Art", "gender": 0, "id": 1775689, "job": "Art Department Assistant", "name": "Jake Hall"}, {"credit_id": "58c693589251411d0d017fb3", "department": "Costume & Make-Up", "gender": 0, "id": 1775690, "job": "Key Makeup Artist", "name": "Gemma Richards"}, {"credit_id": "58c693fe9251411d55017423", "department": "Costume & Make-Up", "gender": 0, "id": 1775691, "job": "Makeup Artist", "name": "Sara Riesel"}, {"credit_id": "58c69407c3a368413b015b42", "department": "Costume & Make-Up", "gender": 0, "id": 1775692, "job": "Makeup Artist", "name": "Paul Boyce"}, {"credit_id": "58c694189251411d19017ab6", "department": "Costume & Make-Up", "gender": 0, "id": 1775693, "job": "Makeup Artist", "name": "Mandy Gold"}, {"credit_id": "58c698989251411d0d01836e", "department": "Costume & Make-Up", "gender": 0, "id": 1775701, "job": "Hairstylist", "name": "Candice Banks"}, {"credit_id": "58c698a59251411d19017de5", "department": "Costume & Make-Up", "gender": 0, "id": 1775702, "job": "Hairstylist", "name": "Gary Machin"}, {"credit_id": "58c69994c3a36840b80172dd", "department": "Sound", "gender": 0, "id": 1775704, "job": "Boom Operator", "name": "Noel Espinosa"}, {"credit_id": "58c69a309251411d110178c9", "department": "Production", "gender": 0, "id": 1775707, "job": "Production Coordinator", "name": "Meredith Humbracht"}, {"credit_id": "58c69d39c3a368410c0163fd", "department": "Camera", "gender": 0, "id": 1775718, "job": "Key Grip", "name": "Gary Hymns"}, {"credit_id": "58c69da6c3a368413b01620f", "department": "Camera", "gender": 0, "id": 1775721, "job": "Key Grip", "name": "Thomas Gibson"}, {"credit_id": "58c69ec49251411d55017be6", "department": "Crew", "gender": 0, "id": 1775723, "job": "Thanks", "name": "Danton Burroughs"}, {"credit_id": "591264bac3a368646b04fda5", "department": "Crew", "gender": 1, "id": 1813644, "job": "Stunts", "name": "Karin Silvestri"}]

Common Values

Value	Count	Frequency (%)
[]	28	0.6%
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[{"credit_id": "52fe4771c3a368484e0c732d", "department": "Editing", "gender": 0, "id": 5388, "job": "Editor", "name": "Myron I. Kerstein"}, {"credit_id": "52fe4771c3a368484e0c7327", "department": "Camera", "gender": 2, "id": 22818, "job": "Director of Photography", "name": "Glen MacPherson"}, {"credit_id": "52fe4771c3a368484e0c7321", "department": "Production", "gender": 2, "id": 8305, "job": "Executive Producer", "name": "David Nicksay"}, {"credit_id": "560c368bc3a368680b006440", "department": "Crew", "gender": 0, "id": 29216, "job": "Choreographer", "name": "Zachary Woodlee"}, {"credit_id": "560c388992514150190003bc", "department": "Production", "gender": 0, "id": 29216, "job": "Co-Producer", "name": "Zachary Woodlee"}, {"credit_id": "52fe4771c3a368484e0c7309", "department": "Writing", "gender": 2, "id": 52779, "job": "Writer", "name": "Ryan Murphy"}, {"credit_id": "52fe4771c3a368484e0c72fd", "department": "Writing", "gender": 2, "id": 59595, "job": "Writer", "name": "Ian Brennan"}, {"credit_id": "52fe4771c3a368484e0c730f", "department": "Production", "gender": 2, "id": 59595, "job": "Executive Producer", "name": "Ian Brennan"}, {"credit_id": "52fe4771c3a368484e0c72f7", "department": "Directing", "gender": 2, "id": 101518, "job": "Director", "name": "Kevin Tancharoen"}, {"credit_id": "52fe4771c3a368484e0c7315", "department": "Production", "gender": 0, "id": 111048, "job": "Producer", "name": "Dante Di Loreto"}, {"credit_id": "52fe4771c3a368484e0c7333", "department": "Costume & Make-Up", "gender": 2, "id": 964511, "job": "Costume Design", "name": "Paul Marlow"}, {"credit_id": "55f7c9b49251416f8700152e", "department": "Writing", "gender": 2, "id": 1224030, "job": "Writer", "name": "Brad Falchuk"}]	1	< 0.1%
Other values (4766)	4766	99.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
department	131813	7.2%
job	129673	7.0%
gender	129667	7.0%
name	129667	7.0%
id	129667	7.0%
credit_id	129667	7.0%
0	74859	4.1%
2	43037	2.3%
production	34189	1.9%
sound	23342	1.3%
Other values (217295)	885953	48.1%

Most occurring characters

Value	Count	Frequency (%)
"	2593350	13.6%
	1836738	9.7%
e	1285966	6.8%
d	883849	4.6%
r	791337	4.2%
:	778002	4.1%
,	773249	4.1%
i	736264	3.9%
a	690548	3.6%
t	689174	3.6%
Other values (70)	7949388	41.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8670349	45.6%
Other Punctuation	4173410	22.0%
Decimal Number	3230833	17.0%
Space Separator	1836738	9.7%
Uppercase Letter	681555	3.6%
Open Punctuation	134482	0.7%
Close Punctuation	134482	0.7%
Connector Punctuation	129667	0.7%
Dash Punctuation	16348	0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1285966	14.8%
d	883849	10.2%
r	791337	9.1%
i	736264	8.5%
a	690548	8.0%
t	689174	7.9%
n	667606	7.7%
c	463806	5.3%
o	462645	5.3%
m	331727	3.8%
Other values (16)	1667427	19.2%

Uppercase Letter

Value	Count	Frequency (%)
C	82269	12.1%
S	78849	11.6%
P	75650	11.1%
D	58897	8.6%
M	52942	7.8%
E	51294	7.5%
A	51088	7.5%
W	23024	3.4%
J	22712	3.3%
B	22009	3.2%
Other values (16)	162821	23.9%

Decimal Number

Value	Count	Frequency (%)
0	466883	14.5%
1	395699	12.2%
5	389046	12.0%
3	344964	10.7%
4	334344	10.3%
2	326237	10.1%
6	276072	8.5%
8	260301	8.1%
9	220700	6.8%
7	216587	6.7%

Other Punctuation

Value	Count	Frequency (%)
"	2593350	62.1%
:	778002	18.6%
,	773249	18.5%
.	12350	0.3%
&	11713	0.3%
\	3393	0.1%
'	1293	< 0.1%
/	60	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
{	129667	96.4%
[	4809	3.6%
(	6	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
}	129667	96.4%
]	4809	3.6%
)	6	< 0.1%

Space Separator

Value	Count	Frequency (%)
	1836738	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	129667	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	16348	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9655961	50.8%
Latin	9351904	49.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1285966	13.8%
d	883849	9.5%
r	791337	8.5%
i	736264	7.9%
a	690548	7.4%
t	689174	7.4%
n	667606	7.1%
c	463806	5.0%
o	462645	4.9%
m	331727	3.5%
Other values (42)	2348982	25.1%

Common

Value	Count	Frequency (%)
"	2593350	26.9%
	1836738	19.0%
:	778002	8.1%
,	773249	8.0%
0	466883	4.8%
1	395699	4.1%
5	389046	4.0%
3	344964	3.6%
4	334344	3.5%
2	326237	3.4%
Other values (18)	1417449	14.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19007865	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	2593350	13.6%
	1836738	9.7%
e	1285966	6.8%
d	883849	4.6%
r	791337	4.2%
:	778002	4.1%
,	773249	4.1%
i	736264	3.9%
a	690548	3.6%
t	689174	3.6%
Other values (70)	7949388	41.8%

Auto

Heatmap
Table

	budget	id	popularity	revenue	runtime	vote_average	vote_count	movie_id	original_language	status
budget	1.000	-0.246	0.650	0.757	0.326	0.066	0.664	-0.246	0.000	0.000
id	-0.246	1.000	-0.278	-0.292	-0.216	-0.266	-0.297	0.999	0.089	0.048
popularity	0.650	-0.278	1.000	0.777	0.303	0.359	0.960	-0.278	0.000	0.000
revenue	0.757	-0.292	0.777	1.000	0.318	0.244	0.804	-0.292	0.000	0.000
runtime	0.326	-0.216	0.303	0.318	1.000	0.398	0.305	-0.216	0.021	0.029
vote_average	0.066	-0.266	0.359	0.244	0.398	1.000	0.381	-0.266	0.059	0.131
vote_count	0.664	-0.297	0.960	0.804	0.305	0.381	1.000	-0.297	0.000	0.000
movie_id	-0.246	0.999	-0.278	-0.292	-0.216	-0.266	-0.297	1.000	0.089	0.048
original_language	0.000	0.089	0.000	0.000	0.021	0.059	0.000	0.089	1.000	0.275
status	0.000	0.048	0.000	0.000	0.029	0.131	0.000	0.048	0.275	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	budget	genres	homepage	id	keywords	original_language	original_title	overview	popularity	production_companies	production_countries	release_date	revenue	runtime	spoken_languages	status	tagline	title	vote_average	vote_count	movie_id	cast	crew
0	237000000	[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 14, "name": "Fantasy"}, {"id": 878, "name": "Science Fiction"}]	http://www.avatarmovie.com/	19995	[{"id": 1463, "name": "culture clash"}, {"id": 2964, "name": "future"}, {"id": 3386, "name": "space war"}, {"id": 3388, "name": "space colony"}, {"id": 3679, "name": "society"}, {"id": 3801, "name": "space travel"}, {"id": 9685, "name": "futuristic"}, {"id": 9840, "name": "romance"}, {"id": 9882, "name": "space"}, {"id": 9951, "name": "alien"}, {"id": 10148, "name": "tribe"}, {"id": 10158, "name": "alien planet"}, {"id": 10987, "name": "cgi"}, {"id": 11399, "name": "marine"}, {"id": 13065, "name": "soldier"}, {"id": 14643, "name": "battle"}, {"id": 14720, "name": "love affair"}, {"id": 165431, "name": "anti war"}, {"id": 193554, "name": "power relations"}, {"id": 206690, "name": "mind and soul"}, {"id": 209714, "name": "3d"}]	en	Avatar	In the 22nd century, a paraplegic Marine is dispatched to the moon Pandora on a unique mission, but becomes torn between following orders and protecting an alien civilization.	150.437577	[{"name": "Ingenious Film Partners", "id": 289}, {"name": "Twentieth Century Fox Film Corporation", "id": 306}, {"name": "Dune Entertainment", "id": 444}, {"name": "Lightstorm Entertainment", "id": 574}]	[{"iso_3166_1": "US", "name": "United States of America"}, {"iso_3166_1": "GB", "name": "United Kingdom"}]	2009-12-10	2787965087	162.0	[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "es", "name": "Espa\u00f1ol"}]	Released	Enter the World of Pandora.	Avatar	7.2	11800	19995	[{"cast_id": 242, "character": "Jake Sully", "credit_id": "5602a8a7c3a3685532001c9a", "gender": 2, "id": 65731, "name": "Sam Worthington", "order": 0}, {"cast_id": 3, "character": "Neytiri", "credit_id": "52fe48009251416c750ac9cb", "gender": 1, "id": 8691, "name": "Zoe Saldana", "order": 1}, {"cast_id": 25, "character": "Dr. Grace Augustine", "credit_id": "52fe48009251416c750aca39", "gender": 1, "id": 10205, "name": "Sigourney Weaver", "order": 2}, {"cast_id": 4, "character": "Col. Quaritch", "credit_id": "52fe48009251416c750ac9cf", "gender": 2, "id": 32747, "name": "Stephen Lang", "order": 3}, {"cast_id": 5, "character": "Trudy Chacon", "credit_id": "52fe48009251416c750ac9d3", "gender": 1, "id": 17647, "name": "Michelle Rodriguez", "order": 4}, {"cast_id": 8, "character": "Selfridge", "credit_id": "52fe48009251416c750ac9e1", "gender": 2, "id": 1771, "name": "Giovanni Ribisi", "order": 5}, {"cast_id": 7, "character": "Norm Spellman", "credit_id": "52fe48009251416c750ac9dd", "gender": 2, "id": 59231, "name": "Joel David Moore", "order": 6}, {"cast_id": 9, "character": "Moat", "credit_id": "52fe48009251416c750ac9e5", "gender": 1, "id": 30485, "name": "CCH Pounder", "order": 7}, {"cast_id": 11, "character": "Eytukan", "credit_id": "52fe48009251416c750ac9ed", "gender": 2, "id": 15853, "name": "Wes Studi", "order": 8}, {"cast_id": 10, "character": "Tsu'Tey", "credit_id": "52fe48009251416c750ac9e9", "gender": 2, "id": 10964, "name": "Laz Alonso", "order": 9}, {"cast_id": 12, "character": "Dr. Max Patel", "credit_id": "52fe48009251416c750ac9f1", "gender": 2, "id": 95697, "name": "Dileep Rao", "order": 10}, {"cast_id": 13, "character": "Lyle Wainfleet", "credit_id": "52fe48009251416c750ac9f5", "gender": 2, "id": 98215, "name": "Matt Gerald", "order": 11}, {"cast_id": 32, "character": "Private Fike", "credit_id": "52fe48009251416c750aca5b", "gender": 2, "id": 154153, "name": "Sean Anthony Moran", "order": 12}, {"cast_id": 33, "character": "Cryo Vault Med Tech", "credit_id": "52fe48009251416c750aca5f", "gender": 2, "id": 397312, "name": "Jason Whyte", "order": 13}, {"cast_id": 34, "character": "Venture Star Crew Chief", "credit_id": "52fe48009251416c750aca63", "gender": 2, "id": 42317, "name": "Scott Lawrence", "order": 14}, {"cast_id": 35, "character": "Lock Up Trooper", "credit_id": "52fe48009251416c750aca67", "gender": 2, "id": 986734, "name": "Kelly Kilgour", "order": 15}, {"cast_id": 36, "character": "Shuttle Pilot", "credit_id": "52fe48009251416c750aca6b", "gender": 0, "id": 1207227, "name": "James Patrick Pitt", "order": 16}, {"cast_id": 37, "character": "Shuttle Co-Pilot", "credit_id": "52fe48009251416c750aca6f", "gender": 0, "id": 1180936, "name": "Sean Patrick Murphy", "order": 17}, {"cast_id": 38, "character": "Shuttle Crew Chief", "credit_id": "52fe48009251416c750aca73", "gender": 2, "id": 1019578, "name": "Peter Dillon", "order": 18}, {"cast_id": 39, "character": "Tractor Operator / Troupe", "credit_id": "52fe48009251416c750aca77", "gender": 0, "id": 91443, "name": "Kevin Dorman", "order": 19}, {"cast_id": 40, "character": "Dragon Gunship Pilot", "credit_id": "52fe48009251416c750aca7b", "gender": 2, "id": 173391, "name": "Kelson Henderson", "order": 20}, {"cast_id": 41, "character": "Dragon Gunship Gunner", "credit_id": "52fe48009251416c750aca7f", "gender": 0, "id": 1207236, "name": "David Van Horn", "order": 21}, {"cast_id": 42, "character": "Dragon Gunship Navigator", "credit_id": 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1	300000000	[{"id": 12, "name": "Adventure"}, {"id": 14, "name": "Fantasy"}, {"id": 28, "name": "Action"}]	http://disney.go.com/disneypictures/pirates/	285	[{"id": 270, "name": "ocean"}, {"id": 726, "name": "drug abuse"}, {"id": 911, "name": "exotic island"}, {"id": 1319, "name": "east india trading company"}, {"id": 2038, "name": "love of one's life"}, {"id": 2052, "name": "traitor"}, {"id": 2580, "name": "shipwreck"}, {"id": 2660, "name": "strong woman"}, {"id": 3799, "name": "ship"}, {"id": 5740, "name": "alliance"}, {"id": 5941, "name": "calypso"}, {"id": 6155, "name": "afterlife"}, {"id": 6211, "name": "fighter"}, {"id": 12988, "name": "pirate"}, {"id": 157186, "name": "swashbuckler"}, {"id": 179430, "name": "aftercreditsstinger"}]	en	Pirates of the Caribbean: At World's End	Captain Barbossa, long believed to be dead, has come back to life and is headed to the edge of the Earth with Will Turner and Elizabeth Swann. But nothing is quite as it seems.	139.082615	[{"name": "Walt Disney Pictures", "id": 2}, {"name": "Jerry Bruckheimer Films", "id": 130}, {"name": "Second Mate Productions", "id": 19936}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2007-05-19	961000000	169.0	[{"iso_639_1": "en", "name": "English"}]	Released	At the end of the world, the adventure begins.	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2	245000000	[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 80, "name": "Crime"}]	http://www.sonypictures.com/movies/spectre/	206647	[{"id": 470, "name": "spy"}, {"id": 818, "name": "based on novel"}, {"id": 4289, "name": "secret agent"}, {"id": 9663, "name": "sequel"}, {"id": 14555, "name": "mi6"}, {"id": 156095, "name": "british secret service"}, {"id": 158431, "name": "united kingdom"}]	en	Spectre	A cryptic message from Bond’s past sends him on a trail to uncover a sinister organization. While M battles political forces to keep the secret service alive, Bond peels back the layers of deceit to reveal the terrible truth behind SPECTRE.	107.376788	[{"name": "Columbia Pictures", "id": 5}, {"name": "Danjaq", "id": 10761}, {"name": "B24", "id": 69434}]	[{"iso_3166_1": "GB", "name": "United Kingdom"}, {"iso_3166_1": "US", "name": "United States of America"}]	2015-10-26	880674609	148.0	[{"iso_639_1": "fr", "name": "Fran\u00e7ais"}, {"iso_639_1": "en", "name": "English"}, {"iso_639_1": "es", "name": "Espa\u00f1ol"}, {"iso_639_1": "it", "name": "Italiano"}, {"iso_639_1": "de", "name": "Deutsch"}]	Released	A Plan No One Escapes	Spectre	6.3	4466	206647	[{"cast_id": 1, "character": "James Bond", "credit_id": "52fe4d22c3a368484e1d8d6b", "gender": 2, "id": 8784, "name": "Daniel Craig", "order": 0}, {"cast_id": 14, "character": "Blofeld", "credit_id": "54805866c3a36829ab002592", "gender": 2, "id": 27319, "name": "Christoph Waltz", "order": 1}, {"cast_id": 13, "character": "Madeleine", 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Eight years later, Batman encounters the mysterious Selina Kyle and the villainous Bane, a new terrorist leader who overwhelms Gotham's finest. 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4	260000000	[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 878, "name": "Science Fiction"}]	http://movies.disney.com/john-carter	49529	[{"id": 818, "name": "based on novel"}, {"id": 839, "name": "mars"}, {"id": 1456, "name": "medallion"}, {"id": 3801, "name": "space travel"}, {"id": 7376, "name": "princess"}, {"id": 9951, "name": "alien"}, {"id": 10028, "name": "steampunk"}, {"id": 10539, "name": "martian"}, {"id": 10685, "name": "escape"}, {"id": 161511, "name": "edgar rice burroughs"}, {"id": 163252, "name": "alien race"}, {"id": 179102, "name": "superhuman strength"}, {"id": 190320, "name": "mars civilization"}, {"id": 195446, "name": "sword and planet"}, {"id": 207928, "name": "19th century"}, {"id": 209714, "name": "3d"}]	en	John Carter	John Carter is a war-weary, former military captain who's inexplicably transported to the mysterious and exotic planet of Barsoom (Mars) and reluctantly becomes embroiled in an epic conflict. It's a world on the brink of collapse, and Carter rediscovers his humanity when he realizes the survival of Barsoom and its people rests in his hands.	43.926995	[{"name": "Walt Disney Pictures", "id": 2}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2012-03-07	284139100	132.0	[{"iso_639_1": "en", "name": "English"}]	Released	Lost in our world, found in another.	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5	258000000	[{"id": 14, "name": "Fantasy"}, {"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}]	http://www.sonypictures.com/movies/spider-man3/	559	[{"id": 851, "name": "dual identity"}, {"id": 1453, "name": "amnesia"}, {"id": 1965, "name": "sandstorm"}, {"id": 2038, "name": "love of one's life"}, {"id": 3446, "name": "forgiveness"}, {"id": 3986, "name": "spider"}, {"id": 4391, "name": "wretch"}, {"id": 4959, "name": "death of a friend"}, {"id": 5776, "name": "egomania"}, {"id": 5789, "name": "sand"}, {"id": 5857, "name": "narcism"}, {"id": 6062, "name": "hostility"}, {"id": 8828, "name": "marvel comic"}, {"id": 9663, "name": "sequel"}, {"id": 9715, "name": "superhero"}, {"id": 9748, "name": "revenge"}]	en	Spider-Man 3	The seemingly invincible Spider-Man goes up against an all-new crop of villain – including the shape-shifting Sandman. While Spider-Man’s superpowers are altered by an alien organism, his alter ego, Peter Parker, deals with nemesis Eddie Brock and also gets caught up in a love triangle.	115.699814	[{"name": "Columbia Pictures", "id": 5}, {"name": "Laura Ziskin Productions", "id": 326}, {"name": "Marvel Enterprises", "id": 19551}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2007-05-01	890871626	139.0	[{"iso_639_1": "en", "name": "English"}, {"iso_639_1": "fr", "name": "Fran\u00e7ais"}]	Released	The battle within.	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6	260000000	[{"id": 16, "name": "Animation"}, {"id": 10751, "name": "Family"}]	http://disney.go.com/disneypictures/tangled/	38757	[{"id": 1562, "name": "hostage"}, {"id": 2343, "name": "magic"}, {"id": 2673, "name": "horse"}, {"id": 3205, "name": "fairy tale"}, {"id": 4344, "name": "musical"}, {"id": 7376, "name": "princess"}, {"id": 10336, "name": "animation"}, {"id": 33787, "name": "tower"}, {"id": 155658, "name": "blonde woman"}, {"id": 162219, "name": "selfishness"}, {"id": 163545, "name": "healing power"}, {"id": 179411, "name": "based on fairy tale"}, {"id": 179431, "name": "duringcreditsstinger"}, {"id": 215258, "name": "healing gift"}, {"id": 234183, "name": "animal sidekick"}]	en	Tangled	When the kingdom's most wanted-and most charming-bandit Flynn Rider hides out in a mysterious tower, he's taken hostage by Rapunzel, a beautiful and feisty tower-bound teen with 70 feet of magical, golden hair. Flynn's curious captor, who's looking for her ticket out of the tower where she's been locked away for years, strikes a deal with the handsome thief and the unlikely duo sets off on an action-packed escapade, complete with a super-cop horse, an over-protective chameleon and a gruff gang of pub thugs.	48.681969	[{"name": "Walt Disney Pictures", "id": 2}, {"name": "Walt Disney Animation Studios", "id": 6125}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2010-11-24	591794936	100.0	[{"iso_639_1": "en", "name": "English"}]	Released	They're taking adventure to new lengths.	Tangled	7.4	3330	38757	[{"cast_id": 34, "character": "Flynn Rider (voice)", "credit_id": "530d35bf9251411435001765", "gender": 2, "id": 69899, "name": "Zachary Levi", "order": 0}, {"cast_id": 33, "character": "Rapunzel (voice)", "credit_id": "530d35a2925141141e0017ff", "gender": 1, "id": 16855, "name": "Mandy Moore", "order": 1}, {"cast_id": 35, "character": "Mother Gothel (voice)", "credit_id": "530d35d4925141141e001802", "gender": 1, "id": 2517, "name": "Donna Murphy", "order": 2}, {"cast_id": 36, "character": "Stabbington Brother (voice)", "credit_id": "530d35e59251411421001835", "gender": 2, "id": 2372, "name": "Ron Perlman", "order": 3}, {"cast_id": 70, "character": "Captain of the Guard (voice)", "credit_id": "53254b82c3a36824b500886a", "gender": 2, "id": 22132, "name": "M.C. 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7	280000000	[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 878, "name": "Science Fiction"}]	http://marvel.com/movies/movie/193/avengers_age_of_ultron	99861	[{"id": 8828, "name": "marvel comic"}, {"id": 9663, "name": "sequel"}, {"id": 9715, "name": "superhero"}, {"id": 9717, "name": "based on comic book"}, {"id": 10629, "name": "vision"}, {"id": 155030, "name": "superhero team"}, {"id": 179431, "name": "duringcreditsstinger"}, {"id": 180547, "name": "marvel cinematic universe"}, {"id": 209714, "name": "3d"}]	en	Avengers: Age of Ultron	When Tony Stark tries to jumpstart a dormant peacekeeping program, things go awry and Earth’s Mightiest Heroes are put to the ultimate test as the fate of the planet hangs in the balance. As the villainous Ultron emerges, it is up to The Avengers to stop him from enacting his terrible plans, and soon uneasy alliances and unexpected action pave the way for an epic and unique global adventure.	134.279229	[{"name": "Marvel Studios", "id": 420}, {"name": "Prime Focus", "id": 15357}, {"name": "Revolution Sun Studios", "id": 76043}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2015-04-22	1405403694	141.0	[{"iso_639_1": "en", "name": "English"}]	Released	A New Age Has Come.	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And with Batman and Superman at war with one another, a new threat quickly arises, putting mankind in greater danger than it’s ever known before.	155.790452	[{"name": "DC Comics", "id": 429}, {"name": "Atlas Entertainment", "id": 507}, {"name": "Warner Bros.", "id": 6194}, {"name": "DC Entertainment", "id": 9993}, {"name": "Cruel & Unusual Films", "id": 9995}, {"name": "RatPac-Dune Entertainment", "id": 41624}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2016-03-23	873260194	151.0	[{"iso_639_1": "en", "name": "English"}]	Released	Justice or revenge	Batman v Superman: Dawn of Justice	5.7	7004	209112	[{"cast_id": 18, "character": "Bruce Wayne / Batman", "credit_id": "52fe4d5bc3a368484e1e4c65", "gender": 2, "id": 880, "name": "Ben Affleck", "order": 0}, {"cast_id": 14, "character": "Clark Kent / Superman", "credit_id": "52fe4d5bc3a368484e1e4c55", "gender": 2, "id": 73968, "name": "Henry Cavill", "order": 1}, {"cast_id": 19, "character": "Diana Prince / Wonder Woman", "credit_id": "52fe4d5bc3a368484e1e4c69", "gender": 1, "id": 90633, "name": "Gal Gadot", "order": 2}, {"cast_id": 15, "character": "Lois Lane", "credit_id": "52fe4d5bc3a368484e1e4c59", "gender": 1, "id": 9273, "name": "Amy Adams", "order": 3}, {"cast_id": 22, "character": "Lex Luthor", "credit_id": "52fe4d5bc3a368484e1e4c79", "gender": 2, "id": 44735, "name": "Jesse Eisenberg", "order": 4}, {"cast_id": 17, "character": "Martha Kent", "credit_id": "52fe4d5bc3a368484e1e4c61", "gender": 1, "id": 2882, "name": "Diane Lane", "order": 5}, {"cast_id": 23, "character": "Alfred Pennyworth", "credit_id": "52fe4d5bc3a368484e1e4c7d", "gender": 0, "id": 16940, "name": "Jeremy Irons", "order": 6}, {"cast_id": 16, "character": "Perry White", "credit_id": "52fe4d5bc3a368484e1e4c5d", "gender": 2, "id": 2975, "name": "Laurence Fishburne", "order": 7}, {"cast_id": 26, "character": "Senator Finch", "credit_id": "533d9aeec3a36878ed0035ec", "gender": 1, "id": 18686, "name": "Holly Hunter", "order": 8}, {"cast_id": 33, "character": "Wallace Keefe", "credit_id": "53ac7a9a0e0a26598600036e", "gender": 2, "id": 59233, "name": "Scoot McNairy", "order": 9}, {"cast_id": 24, "character": "Anatoli Knyazev", "credit_id": "533d9abdc3a36878e600358f", "gender": 2, "id": 208296, "name": "Callan Mulvey", "order": 10}, {"cast_id": 25, "character": "Mercy Graves", "credit_id": "533d9acec3a36878e6003591", "gender": 1, "id": 1156024, "name": "Tao Okamoto", "order": 11}, {"cast_id": 270, "character": "Jenet Klyburn", "credit_id": "58cc0f95c3a368289901360f", "gender": 1, "id": 20089, "name": "Jena Malone", "order": 12}, {"cast_id": 61, "character": "Young Bruce Wayne", "credit_id": "56f79273c3a3686a5e0065eb", "gender": 2, "id": 1511243, "name": "Brandon Spink", "order": 13}, {"cast_id": 54, "character": "Martha Wayne", "credit_id": "56a329f5c3a368389b0021d7", "gender": 1, "id": 62220, "name": "Lauren Cohan", "order": 14}, {"cast_id": 76, "character": "Jack O'Dwyer", "credit_id": "5762f5169251415b940000eb", "gender": 2, "id": 87447, "name": "Hugh Maguire", "order": 15}, {"cast_id": 60, "character": "Jimmy Olsen", "credit_id": "56f791fd9251412cc0002d12", "gender": 2, "id": 56556, "name": "Michael Cassidy", "order": 16}, {"cast_id": 161, "character": "Wayne Industries Pilot", "credit_id": "57fa30b2925141212b006e11", "gender": 2, "id": 1106260, "name": "Alan D. 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	budget	genres	homepage	id	keywords	original_language	original_title	overview	popularity	production_companies	production_countries	release_date	revenue	runtime	spoken_languages	status	tagline	title	vote_average	vote_count	movie_id	cast	crew
4799	0	[{"id": 18, "name": "Drama"}]	NaN	182291	[{"id": 718, "name": "confession"}, {"id": 10079, "name": "hazing"}, {"id": 33426, "name": "gang member"}, {"id": 33586, "name": "latino"}, {"id": 158718, "name": "lgbt"}, {"id": 172391, "name": "catholic priest"}, {"id": 196374, "name": "shakespeare's romeo and juliet"}, {"id": 208340, "name": "latino lgbt"}, {"id": 209241, "name": "gang initiation"}, {"id": 209242, "name": "gunplay"}]	en	On The Downlow	Isaac and Angel are two young Latinos involved in a south side Chicago gang. They have a secret in a world where secrets are forbidden.	0.029757	[{"name": "Iconoclast Films", "id": 26677}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2004-04-11	0	90.0	[]	Released	Two gangs. One secret. One crossroad.	On The Downlow	6.0	2	182291	[{"cast_id": 1, "character": "Isaac", "credit_id": "52fe4c7f9251416c7511c547", "gender": 0, "id": 1165265, "name": "Tony Sancho", "order": 0}, {"cast_id": 2, "character": "Angel", "credit_id": "52fe4c7f9251416c7511c54b", "gender": 0, "id": 1165266, "name": "Michael Cortez", "order": 1}, {"cast_id": 3, "character": "Reaper", "credit_id": "52fe4c7f9251416c7511c54f", "gender": 0, "id": 1165267, "name": "Donato Cruz", "order": 2}, {"cast_id": 4, "character": "Priest (as Phil Camacho)", "credit_id": "52fe4c7f9251416c7511c553", "gender": 0, "id": 1165268, "name": "Felipe Camacho", "order": 3}, {"cast_id": 5, "character": "Isaac's mother", "credit_id": "52fe4c7f9251416c7511c557", "gender": 0, "id": 1165269, "name": "Carmen Cenko", "order": 4}, {"cast_id": 6, "character": "Adam", "credit_id": "52fe4c7f9251416c7511c55b", "gender": 0, "id": 1165270, "name": "Jonathan Rodriguez", "order": 5}, {"cast_id": 7, "character": "Laura", "credit_id": "52fe4c7f9251416c7511c55f", "gender": 0, "id": 1165271, "name": "Adelina Quinones", "order": 6}, {"cast_id": 8, "character": "Angel's Mother", "credit_id": "52fe4c7f9251416c7511c563", "gender": 0, "id": 1165272, "name": "Beatriz Jamaica", "order": 7}, {"cast_id": 9, "character": "Jimmy's Mother (as Tatiana Suarez'Pico)", "credit_id": "52fe4c7f9251416c7511c567", "gender": 0, "id": 1165273, "name": "Tatiana Suarez-Pico", "order": 8}, {"cast_id": 10, "character": "Jimmy", "credit_id": "52fe4c7f9251416c7511c56b", "gender": 0, "id": 1165274, "name": "Eric Ambriz", "order": 9}, {"cast_id": 12, "character": "Wait", "credit_id": "52fe4c7f9251416c7511c573", "gender": 0, "id": 1165276, "name": "Jason R. Davis", "order": 11}, {"cast_id": 13, "character": "Niko (as Jimmy J. Borras Jr.)", "credit_id": "52fe4c7f9251416c7511c577", "gender": 0, "id": 1165277, "name": "Jimmy Borras Jr.", "order": 12}, {"cast_id": 14, "character": "Yard Dude", "credit_id": "52fe4c7f9251416c7511c57b", "gender": 0, "id": 1165278, "name": "Russell Foster", "order": 13}, {"cast_id": 15, "character": "Pinto", "credit_id": "52fe4c7f9251416c7511c57f", "gender": 0, "id": 1165279, "name": "Brian Parenti", "order": 14}, {"cast_id": 16, "character": "Jesus", "credit_id": "52fe4c7f9251416c7511c583", "gender": 0, "id": 567620, "name": "Ricardo Garcia", "order": 15}, {"cast_id": 17, "character": "Hector", "credit_id": "52fe4c7f9251416c7511c587", "gender": 0, "id": 567620, "name": "Ricardo Garcia", "order": 16}, {"cast_id": 18, "character": "Ozzy", "credit_id": "52fe4c7f9251416c7511c58b", "gender": 0, "id": 567620, "name": "Ricardo Garcia", "order": 17}, {"cast_id": 19, "character": "Mike", "credit_id": "52fe4c7f9251416c7511c58f", "gender": 0, "id": 567620, "name": "Ricardo Garcia", "order": 18}, {"cast_id": 20, "character": "Jerry", "credit_id": "52fe4c7f9251416c7511c593", "gender": 0, "id": 567620, "name": "Ricardo Garcia", "order": 19}, {"cast_id": 21, "character": "Burger Joint Chick", "credit_id": "52fe4c7f9251416c7511c597", "gender": 0, "id": 1165280, "name": "Pricilla Santiago", "order": 20}, {"cast_id": 22, "character": "Burger Joint Chick", "credit_id": "52fe4c7f9251416c7511c59b", "gender": 0, "id": 1165281, "name": "Melody Rogers", "order": 21}, {"cast_id": 23, "character": "Esau", "credit_id": "52fe4c7f9251416c7511c59f", "gender": 0, "id": 1165283, "name": "Eddie Cruz", "order": 22}, {"cast_id": 24, "character": "Raul", "credit_id": "52fe4c7f9251416c7511c5a3", "gender": 0, "id": 1165284, "name": "Octavio Rivas", "order": 23}, {"cast_id": 25, "character": "Dorvak's Partner", "credit_id": "52fe4c7f9251416c7511c5a7", "gender": 0, "id": 1165285, "name": "Jeff Docherty", "order": 24}]	[{"credit_id": "548c416392514122ef00197d", "department": "Directing", "gender": 0, "id": 1398500, "job": "Director", "name": "Tadeo Garcia"}, {"credit_id": "548c419a92514122f2001830", "department": "Writing", "gender": 0, "id": 1398500, "job": "Story", "name": "Tadeo Garcia"}, {"credit_id": "548c4176c3a36820ba0017f2", "department": "Writing", "gender": 0, "id": 1398501, "job": "Screenplay", "name": "Roger B. Domian"}, {"credit_id": "548c418792514122f9001a1e", "department": "Writing", "gender": 0, "id": 1398501, "job": "Story", "name": "Roger B. Domian"}]
4800	0	[{"id": 53, "name": "Thriller"}, {"id": 27, "name": "Horror"}, {"id": 35, "name": "Comedy"}]	NaN	286939	[]	en	Sanctuary: Quite a Conundrum	It should have been just a normal day of sex, fun, alcohol, hormones and debauchery for Tabitha and Mimi, two over-privileged twenty-somethings. But that so-called normalcy gets tossed out the window when a devastating event occurs at a pool party.	0.166513	[{"name": "Gold Lion Films", "id": 37870}, {"name": "T-Street Productions", "id": 37871}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2012-01-20	0	82.0	[{"iso_639_1": "en", "name": "English"}]	Released	NaN	Sanctuary: Quite a Conundrum	0.0	0	286939	[{"cast_id": 3, "character": "Mimi", "credit_id": "545f8160c3a3680b5a0008fa", "gender": 0, "id": 1383622, "name": "Sasha Ramos", "order": 1}, {"cast_id": 4, "character": "Tabitha", "credit_id": "545f817b0e0a264d6000233b", "gender": 0, "id": 168675, "name": "Erin Cline", "order": 2}, {"cast_id": 5, "character": "Kylene", "credit_id": "545f81980e0a261fb30093a2", "gender": 0, "id": 1354256, "name": "Emily Rogers", "order": 3}, {"cast_id": 6, "character": "Harris", "credit_id": "545f81b8c3a3680b5a000906", "gender": 0, "id": 1089193, "name": "Anthony Rutowicz", "order": 4}, {"cast_id": 7, "character": "Dutch", "credit_id": "545f81d20e0a264d60002341", "gender": 0, "id": 1383623, "name": "Joe Coffey", "order": 5}]	[{"credit_id": "545f8107c3a3686cbb0041fd", "department": "Directing", "gender": 0, "id": 1171387, "job": "Director", "name": "Thomas L. Phillips"}, {"credit_id": "545f8126c3a3686cbb004202", "department": "Production", "gender": 0, "id": 1171387, "job": "Producer", "name": "Thomas L. Phillips"}, {"credit_id": "545f8111c3a3680b5d000812", "department": "Writing", "gender": 0, "id": 1171387, "job": "Writer", "name": "Thomas L. Phillips"}]
4801	0	[{"id": 18, "name": "Drama"}]	NaN	124606	[{"id": 10726, "name": "gang"}, {"id": 33928, "name": "audition"}, {"id": 172732, "name": "police fake"}, {"id": 177927, "name": "homeless"}, {"id": 207583, "name": "actress"}]	en	Bang	A young woman in L.A. is having a bad day: she's evicted, an audition ends with a producer furious she won't trade sex for the part, and a policeman nabs her for something she didn't do, demanding fellatio to release her. She snaps, grabs his gun, takes his uniform, and leaves him cuffed to a tree where he's soon having a defenseless chat with a homeless man. She takes off on the cop's motorcycle and, for an afternoon, experiences a cop's life. She talks a young man out of suicide and then is plunged into violence after a friendly encounter with two "vatos." She is torn between self-protection and others' expectations. Is there any resolution for her torrent of feelings?	0.918116	[{"name": "Asylum Films", "id": 10571}, {"name": "FM Entertainment", "id": 26598}, {"name": "Eagle Eye Films Inc.", "id": 40739}]	[{"iso_3166_1": "US", "name": "United States of America"}]	1995-09-09	0	98.0	[{"iso_639_1": "en", "name": "English"}]	Released	Sometimes you've got to break the rules	Bang	6.0	1	124606	[{"cast_id": 2, "character": "The Girl", "credit_id": "52fe4ab0c3a368484e161ae1", "gender": 0, "id": 238147, "name": "Darling Narita", "order": 0}, {"cast_id": 3, "character": "Adam", "credit_id": "52fe4ab0c3a368484e161ae5", "gender": 2, "id": 11803, "name": "Peter Greene", "order": 1}, {"cast_id": 4, "character": "Officer Rattler", "credit_id": "55a6c228c3a3683005000337", "gender": 0, "id": 1487594, "name": "Michael Newland", "order": 2}, {"cast_id": 5, "character": "Pimp", "credit_id": "55a6c234c3a368300500033c", "gender": 0, "id": 1487595, "name": "Erik Schrody", "order": 3}, {"cast_id": 6, "character": "Officer Trotter", "credit_id": "55a6c2419251411e06000323", "gender": 0, "id": 1274315, "name": "Michael Artura", "order": 4}, {"cast_id": 7, "character": "Officer Ham", "credit_id": "55a6c255c3a3683005000345", "gender": 2, "id": 173833, "name": "James Sharpe", "order": 5}, {"cast_id": 8, "character": "Jes\u00fas", "credit_id": "55a6c2629251411e1800030c", "gender": 0, "id": 1109526, "name": "Luis Guizar", "order": 6}, {"cast_id": 9, "character": "Juan", "credit_id": "55a6c26ec3a3682ff400033a", "gender": 2, "id": 1487596, "name": "Art Cruz", "order": 7}, {"cast_id": 10, "character": "The Producer", "credit_id": "55a6c27ec3a3682ff60002eb", "gender": 2, "id": 99636, "name": "David Alan Graf", "order": 8}, {"cast_id": 11, "character": "Landlord", "credit_id": "55a6c28c9251411e0f0002ec", "gender": 0, "id": 1163066, "name": "Stanley B. Herman", "order": 9}, {"cast_id": 12, "character": "Rooftop Dealer", "credit_id": "55a6c2a5c3a36830080002b0", "gender": 2, "id": 152699, "name": "James Noble", "order": 10}, {"cast_id": 13, "character": "Hooker", "credit_id": "55a6c2bb9251411e1b0002b7", "gender": 1, "id": 140, "name": "Lucy Liu", "order": 11}, {"cast_id": 14, "character": "Cook", "credit_id": "55a6c2c69251411e140002de", "gender": 2, "id": 31178, "name": "David Preston", "order": 12}, {"cast_id": 15, "character": "Drive-By Cholo", "credit_id": "55a6c2e39251411e1b0002bb", "gender": 0, "id": 859896, "name": "Paul Saucido", "order": 13}]	[{"credit_id": "52fe4ab0c3a368484e161add", "department": "Directing", "gender": 0, "id": 77465, "job": "Director", "name": "Ash Baron-Cohen"}, {"credit_id": "55a6c2fdc3a3682fff0002d7", "department": "Writing", "gender": 0, "id": 77465, "job": "Writer", "name": "Ash Baron-Cohen"}, {"credit_id": "55a6c30bc3a36830080002b6", "department": "Production", "gender": 0, "id": 77469, "job": "Producer", "name": "Daniel M. Berger"}, {"credit_id": "55a6c316c3a3682ff4000349", "department": "Production", "gender": 0, "id": 551516, "job": "Producer", "name": "Ladd Vance"}, {"credit_id": "55a6c3269251411e1b0002c9", "department": "Crew", "gender": 2, "id": 1108768, "job": "Cinematography", "name": "David Gasperik"}, {"credit_id": "55a6c334c3a36830080002b9", "department": "Sound", "gender": 0, "id": 1487597, "job": "Original Music Composer", "name": "Orlando Aguillen"}]
4802	7000	[{"id": 878, "name": "Science Fiction"}, {"id": 18, "name": "Drama"}, {"id": 53, "name": "Thriller"}]	http://www.primermovie.com	14337	[{"id": 1448, "name": "distrust"}, {"id": 2101, "name": "garage"}, {"id": 3394, "name": "identity crisis"}, {"id": 4379, "name": "time travel"}, {"id": 5455, "name": "time machine"}, {"id": 6009, "name": "mathematics"}, {"id": 10183, "name": "independent film"}, {"id": 14779, "name": "paradox"}, {"id": 162356, "name": "mechanical engineering"}]	en	Primer	Friends/fledgling entrepreneurs invent a device in their garage that reduces the apparent mass of any object placed inside it, but they accidentally discover that it has some highly unexpected capabilities -- ones that could enable them to do and to have seemingly anything they want. Taking advantage of this unique opportunity is the first challenge they face. Dealing with the consequences is the next.	23.307949	[{"name": "Thinkfilm", "id": 446}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2004-10-08	424760	77.0	[{"iso_639_1": "en", "name": "English"}]	Released	What happens if it actually works?	Primer	6.9	658	14337	[{"cast_id": 1, "character": "Aaron", "credit_id": "52fe45e79251416c75066787", "gender": 2, "id": 76624, "name": "Shane Carruth", "order": 0}, {"cast_id": 2, "character": "Abe", "credit_id": "52fe45e79251416c7506678b", "gender": 2, "id": 76625, "name": "David Sullivan", "order": 1}, {"cast_id": 6, "character": "Robert", "credit_id": "52fe45e79251416c750667a1", "gender": 0, "id": 110171, "name": "Casey Gooden", "order": 2}, {"cast_id": 7, "character": "Philip", "credit_id": "52fe45e79251416c750667a5", "gender": 0, "id": 110172, "name": "Anand Upadhyaya", "order": 3}, {"cast_id": 8, "character": "Kara", "credit_id": "52fe45e79251416c750667a9", "gender": 0, "id": 110173, "name": "Carrie Crawford", "order": 4}, {"cast_id": 10, "character": "Metalshop Worker", "credit_id": "52fe45e79251416c750667b3", "gender": 0, "id": 1080287, "name": "Jay Butler", "order": 5}, {"cast_id": 11, "character": "Man On Couch #1", "credit_id": "52fe45e79251416c750667b7", "gender": 0, "id": 1080288, "name": "John Carruth", "order": 6}, {"cast_id": 12, "character": "Man On Couch #2", "credit_id": "52fe45e79251416c750667bb", "gender": 0, "id": 1080289, "name": "Juan Tapia", "order": 7}, {"cast_id": 13, "character": "Hostess", "credit_id": "52fe45e79251416c750667bf", "gender": 0, "id": 1080290, "name": "Ashley Warren", "order": 8}, {"cast_id": 14, "character": "Rachel Granger", "credit_id": "52fe45e89251416c750667c3", "gender": 0, "id": 1080291, "name": "Samantha Thomson", "order": 9}, {"cast_id": 15, "character": "Thomas Granger", "credit_id": "52fe45e89251416c750667c7", "gender": 0, "id": 1080292, "name": "Chip Carruth", "order": 10}, {"cast_id": 16, "character": "Laney", "credit_id": "52fe45e89251416c750667cb", "gender": 0, "id": 1080293, "name": "Delaney Price", "order": 11}, {"cast_id": 17, "character": "Aaron's Co-worker", "credit_id": "52fe45e89251416c750667cf", "gender": 0, "id": 1080294, "name": "Jack Pyland", "order": 12}, {"cast_id": 18, "character": "Clean Room Technician", "credit_id": "52fe45e89251416c750667d3", "gender": 0, "id": 1080295, "name": "Keith Bradshaw", "order": 13}, {"cast_id": 19, "character": "Laboratory Technician", "credit_id": "52fe45e89251416c750667d7", "gender": 0, "id": 1080296, "name": "Ashok Upadhyaya", "order": 14}, {"cast_id": 20, "character": "Will", "credit_id": "52fe45e89251416c750667db", "gender": 0, "id": 1080297, "name": "Brandon Blagg", "order": 15}, {"cast_id": 21, "character": "Will's Cousin", "credit_id": "52fe45e89251416c750667df", "gender": 0, "id": 1080298, "name": "Jon Cook", "order": 16}, {"cast_id": 22, "character": "Rachel's Date", "credit_id": "52fe45e89251416c750667e3", "gender": 2, "id": 203260, "name": "David Joyner", "order": 17}, {"cast_id": 23, "character": "Translator", "credit_id": "52fe45e89251416c750667e7", "gender": 0, "id": 1080299, "name": "Eric De Soualhat", "order": 18}]	[{"credit_id": "52fe45e79251416c75066791", "department": "Directing", "gender": 2, "id": 76624, "job": "Director", "name": "Shane Carruth"}, {"credit_id": "560a6cfcc3a368681f001dfe", "department": "Editing", "gender": 2, "id": 76624, "job": "Editor", "name": "Shane Carruth"}, {"credit_id": "52fe45e79251416c75066797", "department": "Production", "gender": 2, "id": 76624, "job": "Producer", "name": "Shane Carruth"}, {"credit_id": "52fe45e79251416c750667af", "department": "Writing", "gender": 2, "id": 76624, "job": "Writer", "name": "Shane Carruth"}, {"credit_id": "52fe45e79251416c7506679d", "department": "Sound", "gender": 2, "id": 76624, "job": "Music", "name": "Shane Carruth"}, {"credit_id": "560a6ba2c3a3686824001e85", "department": "Crew", "gender": 2, "id": 76624, "job": "Cinematography", "name": "Shane Carruth"}]
4803	0	[{"id": 10769, "name": "Foreign"}, {"id": 53, "name": "Thriller"}]	NaN	67238	[]	en	Cavite	Adam, a security guard, travels from California to the Philippines, his native land, for his father's funeral. He arrives in Manila. As he waits, a phone rings in his backpack; he answers it, and a male voice tells him that his mother and sister are captives and will be killed if Adam doesn't cooperate. Over the next hour, the voice sends Adam by bus, taxi, motorized tricycle, and on foot through an urban landscape of busy streets, cramped apartments, a fetid squatters' camp, a bank, a cockfighting arena, and a church. Adam's conversations with the voice cover murder, Islam, jihad, rebellion in Mindanao, and his family. What is it Adam will be commanded to do?	0.022173	[]	[]	2005-03-12	0	80.0	[]	Released	NaN	Cavite	7.5	2	67238	[]	[{"credit_id": "52fe475dc3a368484e0c319f", "department": "Directing", "gender": 0, "id": 1174437, "job": "Director", "name": "Neill Dela Llana"}, {"credit_id": "52fe475dc3a368484e0c31a5", "department": "Directing", "gender": 0, "id": 1174438, "job": "Director", "name": "Ian Gamazon"}]
4804	220000	[{"id": 28, "name": "Action"}, {"id": 80, "name": "Crime"}, {"id": 53, "name": "Thriller"}]	NaN	9367	[{"id": 5616, "name": "united states\u2013mexico barrier"}, {"id": 33649, "name": "legs"}, {"id": 162740, "name": "arms"}, {"id": 187891, "name": "paper knife"}, {"id": 206558, "name": "guitar case"}]	es	El Mariachi	El Mariachi just wants to play his guitar and carry on the family tradition. Unfortunately, the town he tries to find work in has another visitor...a killer who carries his guns in a guitar case. The drug lord and his henchmen mistake El Mariachi for the killer, Azul, and chase him around town trying to kill him and get his guitar case.	14.269792	[{"name": "Columbia Pictures", "id": 5}]	[{"iso_3166_1": "MX", "name": "Mexico"}, {"iso_3166_1": "US", "name": "United States of America"}]	1992-09-04	2040920	81.0	[{"iso_639_1": "es", "name": "Espa\u00f1ol"}]	Released	He didn't come looking for trouble, but trouble came looking for him.	El Mariachi	6.6	238	9367	[{"cast_id": 1, "character": "El Mariachi", "credit_id": "52fe44eec3a36847f80b27f9", "gender": 2, "id": 20498, "name": "Carlos Gallardo", "order": 0}, {"cast_id": 3, "character": "Bigot\u00f3n", "credit_id": "52fe44eec3a36847f80b2801", "gender": 0, "id": 57470, "name": "Jaime de Hoyos", "order": 2}, {"cast_id": 4, "character": "Mauricio (Moco)", "credit_id": "52fe44eec3a36847f80b2805", "gender": 2, "id": 57471, "name": "Peter Marquardt", "order": 3}, {"cast_id": 18, "character": "Azul", "credit_id": "52fe44eec3a36847f80b2851", "gender": 0, "id": 1192733, "name": "Reinol Martinez", "order": 4}, {"cast_id": 19, "character": "Cantinero", "credit_id": "52fe44eec3a36847f80b2855", "gender": 0, "id": 1192734, "name": "Ramiro Gomez", "order": 5}, {"cast_id": 20, "character": "Domino", "credit_id": "5300df549251416ae738b1f4", "gender": 0, "id": 1293343, "name": "Consuelo G\u00f3mez", "order": 6}, {"cast_id": 21, "character": "Moco's Men", "credit_id": "58f41b409251413da7019f90", "gender": 2, "id": 1066358, "name": "Juan Garc\u00eda", "order": 7}]	[{"credit_id": "52fe44eec3a36847f80b280b", "department": "Directing", "gender": 0, "id": 2294, "job": "Director", "name": "Robert Rodriguez"}, {"credit_id": "52fe44eec3a36847f80b2847", "department": "Camera", "gender": 0, "id": 2294, "job": "Director of Photography", "name": "Robert Rodriguez"}, {"credit_id": "52fe44eec3a36847f80b284d", "department": "Editing", "gender": 0, "id": 2294, "job": "Editor", "name": "Robert Rodriguez"}, {"credit_id": "52fe44eec3a36847f80b281d", "department": "Production", "gender": 0, "id": 2294, "job": "Producer", "name": "Robert Rodriguez"}, {"credit_id": "52fe44eec3a36847f80b2811", "department": "Writing", "gender": 0, "id": 2294, "job": "Author", "name": "Robert Rodriguez"}, {"credit_id": "52fe44eec3a36847f80b2817", "department": "Production", "gender": 2, "id": 20498, "job": "Producer", "name": "Carlos Gallardo"}, {"credit_id": "52fe44eec3a36847f80b2829", "department": "Sound", "gender": 0, "id": 57473, "job": "Music", "name": "Eric Guthrie"}, {"credit_id": "52fe44eec3a36847f80b282f", "department": "Sound", "gender": 0, "id": 57474, "job": "Music", "name": "Chris Knudson"}, {"credit_id": "52fe44eec3a36847f80b2835", "department": "Sound", "gender": 0, "id": 57475, "job": "Music", "name": "\u00c1lvaro Rodr\u00edguez"}, {"credit_id": "52fe44eec3a36847f80b283b", "department": "Sound", "gender": 0, "id": 57478, "job": "Music", "name": "Cecilio Rodr\u00edguez"}, {"credit_id": "52fe44eec3a36847f80b2841", "department": "Sound", "gender": 0, "id": 57479, "job": "Music", "name": "Mark Trujillo"}]
4805	9000	[{"id": 35, "name": "Comedy"}, {"id": 10749, "name": "Romance"}]	NaN	72766	[]	en	Newlyweds	A newlywed couple's honeymoon is upended by the arrivals of their respective sisters.	0.642552	[]	[]	2011-12-26	0	85.0	[]	Released	A newlywed couple's honeymoon is upended by the arrivals of their respective sisters.	Newlyweds	5.9	5	72766	[{"cast_id": 1, "character": "Buzzy", "credit_id": "52fe487dc3a368484e0fb001", "gender": 2, "id": 12833, "name": "Edward Burns", "order": 0}, {"cast_id": 2, "character": "Linda", "credit_id": "52fe487dc3a368484e0fb005", "gender": 1, "id": 58356, "name": "Kerry Bish\u00e9", "order": 1}, {"cast_id": 3, "character": "Marsha", "credit_id": "52fe487dc3a368484e0fb009", "gender": 1, "id": 17188, "name": "Marsha Dietlein", "order": 2}, {"cast_id": 4, "character": "Katie", "credit_id": "52fe487dc3a368484e0fb00d", "gender": 1, "id": 211993, "name": "Caitlin Fitzgerald", "order": 3}, {"cast_id": 7, "character": "Vanessa", "credit_id": "52fe487dc3a368484e0fb01d", "gender": 0, "id": 1257819, "name": "Daniella Pineda", "order": 4}]	[{"credit_id": "52fe487dc3a368484e0fb013", "department": "Directing", "gender": 2, "id": 12833, "job": "Director", "name": "Edward Burns"}, {"credit_id": "584a9e89c3a368141101e3b6", "department": "Production", "gender": 2, "id": 12833, "job": "Producer", "name": "Edward Burns"}, {"credit_id": "52fe487dc3a368484e0fb019", "department": "Writing", "gender": 2, "id": 12833, "job": "Writer", "name": "Edward Burns"}, {"credit_id": "584a9ead92514157fa00ccae", "department": "Production", "gender": 0, "id": 1066767, "job": "Producer", "name": "William Rexer"}, {"credit_id": "584a9ee792514119bc01e99c", "department": "Crew", "gender": 0, "id": 1066767, "job": "Cinematography", "name": "William Rexer"}, {"credit_id": "584a9ed2c3a368141a0201c7", "department": "Sound", "gender": 0, "id": 1251352, "job": "Music", "name": "P.T. Walkley"}, {"credit_id": "584aa1ba92514119b301ecfa", "department": "Editing", "gender": 0, "id": 1552358, "job": "Editor", "name": "Janet Gaynor"}, {"credit_id": "584a9e9e92514119b301eb56", "department": "Production", "gender": 0, "id": 1566006, "job": "Producer", "name": "Aaron Lubin"}]
4806	0	[{"id": 35, "name": "Comedy"}, {"id": 18, "name": "Drama"}, {"id": 10749, "name": "Romance"}, {"id": 10770, "name": "TV Movie"}]	http://www.hallmarkchannel.com/signedsealeddelivered	231617	[{"id": 248, "name": "date"}, {"id": 699, "name": "love at first sight"}, {"id": 2398, "name": "narration"}, {"id": 5340, "name": "investigation"}, {"id": 34051, "name": "team"}, {"id": 173066, "name": "postal worker"}]	en	Signed, Sealed, Delivered	"Signed, Sealed, Delivered" introduces a dedicated quartet of civil servants in the Dead Letter Office of the U.S. Postal System who transform themselves into an elite team of lost-mail detectives. Their determination to deliver the seemingly undeliverable takes them out of the post office into an unpredictable world where letters and packages from the past save lives, solve crimes, reunite old loves, and change futures by arriving late, but always miraculously on time.	1.444476	[{"name": "Front Street Pictures", "id": 3958}, {"name": "Muse Entertainment Enterprises", "id": 6438}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2013-10-13	0	120.0	[{"iso_639_1": "en", "name": "English"}]	Released	NaN	Signed, Sealed, Delivered	7.0	6	231617	[{"cast_id": 8, "character": "Oliver O\u2019Toole", "credit_id": "52fe4df3c3a36847f8275ed3", "gender": 2, "id": 11867, "name": "Eric Mabius", "order": 0}, {"cast_id": 9, "character": "Shane McInerney", "credit_id": "52fe4df3c3a36847f8275ed7", "gender": 1, "id": 34915, "name": "Kristin Booth", "order": 1}, {"cast_id": 11, "character": "Rita Haywith", "credit_id": "52fe4df3c3a36847f8275edf", "gender": 1, "id": 58393, "name": "Crystal Lowe", "order": 2}, {"cast_id": 12, "character": "Norman Dorman", "credit_id": "52fe4df3c3a36847f8275ee3", "gender": 0, "id": 119810, "name": "Geoff Gustafson", "order": 3}, {"cast_id": 14, "character": "Charlie Riggs", "credit_id": "52fe4df3c3a36847f8275eeb", "gender": 2, "id": 77865, "name": "Benjamin Hollingsworth", "order": 4}, {"cast_id": 13, "character": "Kelly", "credit_id": "52fe4df3c3a36847f8275ee7", "gender": 1, "id": 1037844, "name": "Laci J Mailey", "order": 5}, {"cast_id": 10, "character": "Andrea Shmeckle", "credit_id": "52fe4df3c3a36847f8275edb", "gender": 1, "id": 14668, "name": "Daphne Zuniga", "order": 6}]	[{"credit_id": "52fe4df3c3a36847f8275ecf", "department": "Costume & Make-Up", "gender": 0, "id": 23816, "job": "Costume Design", "name": "Carla Hetland"}, {"credit_id": "583328efc3a368675d0016e4", "department": "Production", "gender": 2, "id": 32733, "job": "Producer", "name": "Harvey Kahn"}, {"credit_id": "52fe4df3c3a36847f8275eb7", "department": "Camera", "gender": 2, "id": 43925, "job": "Director of Photography", "name": "Adam Sliwinski"}, {"credit_id": "52fe4df3c3a36847f8275eb1", "department": "Writing", "gender": 1, "id": 166873, "job": "Writer", "name": "Martha Williamson"}, {"credit_id": "58332c6ac3a3686753001dcf", "department": "Production", "gender": 1, "id": 166873, "job": "Executive Producer", "name": "Martha Williamson"}, {"credit_id": "554ea9ddc3a36879530001d9", "department": "Production", "gender": 2, "id": 174065, "job": "Executive Producer", "name": "Joel S. Rice"}, {"credit_id": "5833288e92514103450018f0", "department": "Production", "gender": 1, "id": 435006, "job": "Casting", "name": "Jackie Lind"}, {"credit_id": "5833289ac3a36867500019b1", "department": "Production", "gender": 0, "id": 551521, "job": "Casting", "name": "Shana Landsburg"}, {"credit_id": "52fe4df3c3a36847f8275ec9", "department": "Art", "gender": 1, "id": 1012891, "job": "Production Design", "name": "Renee Read"}, {"credit_id": "52fe4df3c3a36847f8275ec3", "department": "Sound", "gender": 2, "id": 1099146, "job": "Original Music Composer", "name": "Hal Beckett"}, {"credit_id": "52fe4df3c3a36847f8275eab", "department": "Directing", "gender": 0, "id": 1219158, "job": "Director", "name": "Scott Smith"}, {"credit_id": "58332c3f9251410348001bf2", "department": "Production", "gender": 0, "id": 1219158, "job": "Executive Producer", "name": "Scott Smith"}, {"credit_id": "52fe4df3c3a36847f8275ebd", "department": "Editing", "gender": 0, "id": 1271268, "job": "Editor", "name": "Lisa Binkley"}]
4807	0	[]	http://shanghaicalling.com/	126186	[]	en	Shanghai Calling	When ambitious New York attorney Sam is sent to Shanghai on assignment, he immediately stumbles into a legal mess that could end his career. With the help of a beautiful relocation specialist, a well-connected old-timer, a clever journalist, and a street-smart legal assistant, Sam might just save his job, find romance, and learn to appreciate the beauty and wonders of Shanghai. Written by Anonymous (IMDB.com).	0.857008	[]	[{"iso_3166_1": "US", "name": "United States of America"}, {"iso_3166_1": "CN", "name": "China"}]	2012-05-03	0	98.0	[{"iso_639_1": "en", "name": "English"}]	Released	A New Yorker in Shanghai	Shanghai Calling	5.7	7	126186	[{"cast_id": 3, "character": "Sam", "credit_id": "52fe4ad9c3a368484e16a375", "gender": 2, "id": 82093, "name": "Daniel Henney", "order": 0}, {"cast_id": 4, "character": "Amanda", "credit_id": "52fe4ad9c3a368484e16a379", "gender": 1, "id": 210050, "name": "Eliza Coupe", "order": 1}, {"cast_id": 5, "character": "Donald", "credit_id": "52fe4ad9c3a368484e16a37d", "gender": 2, "id": 2053, "name": "Bill Paxton", "order": 2}, {"cast_id": 6, "character": "Marcus Groff", "credit_id": "52fe4ad9c3a368484e16a381", "gender": 2, "id": 2394, "name": "Alan Ruck", "order": 3}, {"cast_id": 7, "character": "", "credit_id": "548347219251416e7b0081f7", "gender": 0, "id": 1395490, "name": "Zhu Shimao", "order": 4}]	[{"credit_id": "52fe4ad9c3a368484e16a36b", "department": "Directing", "gender": 2, "id": 208138, "job": "Director", "name": "Daniel Hsia"}, {"credit_id": "52fe4ad9c3a368484e16a371", "department": "Writing", "gender": 2, "id": 208138, "job": "Writer", "name": "Daniel Hsia"}]
4808	0	[{"id": 99, "name": "Documentary"}]	NaN	25975	[{"id": 1523, "name": "obsession"}, {"id": 2249, "name": "camcorder"}, {"id": 9986, "name": "crush"}, {"id": 11223, "name": "dream girl"}]	en	My Date with Drew	Ever since the second grade when he first saw her in E.T. The Extraterrestrial, Brian Herzlinger has had a crush on Drew Barrymore. Now, 20 years later he's decided to try to fulfill his lifelong dream by asking her for a date. There's one small problem: She's Drew Barrymore and he's, well, Brian Herzlinger, a broke 27-year-old aspiring filmmaker from New Jersey.	1.929883	[{"name": "rusty bear entertainment", "id": 87986}, {"name": "lucky crow films", "id": 87987}]	[{"iso_3166_1": "US", "name": "United States of America"}]	2005-08-05	0	90.0	[{"iso_639_1": "en", "name": "English"}]	Released	NaN	My Date with Drew	6.3	16	25975	[{"cast_id": 3, "character": "Herself", "credit_id": "52fe44e8c3a368484e03da91", "gender": 1, "id": 69597, "name": "Drew Barrymore", "order": 0}, {"cast_id": 5, "character": "Himself", "credit_id": "58ce01169251415a3901648f", "gender": 2, "id": 85563, "name": "Brian Herzlinger", "order": 1}, {"cast_id": 6, "character": "Himself", "credit_id": "58ce01339251415a410167f0", "gender": 2, "id": 3034, "name": "Corey Feldman", "order": 2}, {"cast_id": 8, "character": "Himself", "credit_id": "58ce018c9251415a7d016e36", "gender": 2, "id": 21315, "name": "Eric Roberts", "order": 3}, {"cast_id": 9, "character": "Himself", "credit_id": "58ce01b99251415a7d016e7d", "gender": 0, "id": 2171, "name": "Griffin Dunne", "order": 4}, {"cast_id": 10, "character": "Himself", "credit_id": "58ce01d19251415a8b0168be", "gender": 2, "id": 2231, "name": "Samuel L. Jackson", "order": 5}, {"cast_id": 11, "character": "Himself", "credit_id": "58ce01dd9251415a39016580", "gender": 2, "id": 14407, "name": "Matt LeBlanc", "order": 6}, {"cast_id": 7, "character": "Himself", "credit_id": "58ce0164c3a3685104015b28", "gender": 2, "id": 155007, "name": "Bill D'Elia", "order": 7}]	[{"credit_id": "58ce021b9251415a390165d9", "department": "Production", "gender": 2, "id": 6888, "job": "Executive Producer", "name": "Clark Peterson"}, {"credit_id": "58ce0232c3a36850e90157da", "department": "Production", "gender": 2, "id": 61051, "job": "Executive Producer", "name": "Andrew Reimer"}, {"credit_id": "52fe44e8c3a368484e03da8d", "department": "Directing", "gender": 2, "id": 85563, "job": "Director", "name": "Brian Herzlinger"}, {"credit_id": "52fe44e8c3a368484e03da87", "department": "Directing", "gender": 2, "id": 94471, "job": "Director", "name": "Jon Gunn"}, {"credit_id": "52fe44e8c3a368484e03da97", "department": "Directing", "gender": 0, "id": 997560, "job": "Director", "name": "Brett Winn"}]

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